Low power ldpc decoder implementation using layer decoding
Download as pptx, pdf2 likes1,487 views
This document proposes a low-power LDPC decoder implementation using layered decoding. It discusses how LDPC codes can be used for reliable data transmission and are finding increasing use. It describes layered decoding as an efficient approach that can decrease power consumption. The proposed method is vectored layer decoding, which overcomes limitations of traditional layered decoding. It involves encoding data using an LDPC generator matrix derived from the parity check matrix. Simulations were conducted to generate the generator matrix and encode data. The goal is to efficiently implement a low-power LDPC decoder using this vectored layer decoding approach.
1 of 19
Downloaded 75 times
![Generator Matrix from Parity
Check Matrix
Parity Check Matrix(H)
H(qxn)=[Pqxk : Iq ].
Generator Matrix(G)
G(kxn) =[Ik:Pkxq].](https://image.slidesharecdn.com/low-powerldpcdecoderimplementationusinglayerdecoding-130420104733-phpapp02/85/Low-power-ldpc-decoder-implementation-using-layer-decoding-12-320.jpg)
Ad
Recommended
Thesis_Presentation
Thesis_PresentationPanagiotis Chatzi nikolaou This document discusses low-density parity-check (LDPC) codes and their decoding using belief propagation on factor graphs. It introduces LDPC codes and their representation by sparse parity-check matrices and Tanner graphs. It describes irregular and regular LDPC codes, degree distributions, code ensembles, and decoding using belief propagation on factor graphs and the sum-product algorithm. Examples of decoding a LDPC code over a binary-input additive white Gaussian noise channel are also presented.
LDPC
LDPCNaveed Channa LDPC (Low Density Parity Check) codes were first reported in 1962 by Gallager as a method of channel coding to defeat noise using low density parity check matrices. LDPC codes were rediscovered in 1996 by MacKay and Neal, who showed they could achieve performance close to Turbo Codes but with lower implementation costs. LDPC codes work by encoding data through matrix operations and decoding by finding the most probable vector that satisfies the parity check equation, with many possible decoding implementations. They have applications in wireless, wired, and optical communications where the code must be designed to balance highest coding gain with ease of implementation based on the throughput requirements and modulation scheme used.
LDPC Encoding
LDPC EncodingBhagwat Singh Rathore This document discusses Low Density Parity Check (LDPC) codes. It describes LDPC codes as having sparse parity check matrices, which allows for large minimum distances and improved error correction performance. It explains the differences between regular and irregular LDPC codes, and discusses factors like minimum distance, cycle length, linear independence, and encoding and decoding of LDPC codes. It provides examples of parity check matrices and generator matrices. It also provides an overview of an LDPC system and the encoding process.
My review on low density parity check codes
My review on low density parity check codespulugurtha venkatesh This document discusses low-density parity-check (LDPC) codes. It begins with an overview of LDPC codes, noting they were originally invented in the 1960s but gained renewed interest after turbo codes. It then covers LDPC code performance and construction, including generator and parity check matrices. Various representations of LDPC codes are examined, such as matrix and graphical representations using Tanner graphs. Applications of LDPC codes include wireless, wired, and optical communications. In conclusions, turbo codes achieved theoretical limits with a small gap and led to new codes like LDPC codes, which provide high-speed and high-throughput performance close to the Shannon limit.
H.264 video standard
H.264 video standardSajan Sahu The document discusses the H.264 video compression standard. It provides an overview of the standard, including its objectives to improve compression performance over previous standards. Key features that allow for superior compression compared to other standards are described, such as enhanced motion estimation and an improved deblocking filter. Performance comparisons show H.264 can provide bit rate savings of up to 50% compared to other standards like MPEG-2 and H.263.
Vlsi Synthesis
Vlsi SynthesisSIVA NAGENDRA REDDY The document discusses the inputs and outputs of place and route tools used in the chip design process. It describes the .cel, .blk, .par, and .net files that are used as inputs to specify connectivity, layout structure, global parameters, and nets. The outputs include the .p11, .p12, .pin, .twf, and .out files that describe placement and routing results. The document also briefly mentions design capture tools like HDL, schematics, and floor planning, as well as design verification tools such as simulation and timing verification.
Unit 5 Quantization
Unit 5 QuantizationDr Piyush Charan The lecture notes by Dr. Piyush Charan focus on quantization techniques for data compression, particularly vector quantization (VQ) as a method for lossy compression. It discusses the advantages of VQ over scalar quantization, the Linde-Buzo-Gray algorithm, and tree-structured vector quantization methods, emphasizing their application in multimedia data compression. Key points include the importance of an optimal codebook for performance and the benefits of structured approaches to reduce complexity and improve efficiency in quantization.
STLD-Combinational logic design
STLD-Combinational logic design Abhinay Potlabathini The document discusses various topics related to combinational logic design including:
- The steps in the combinational logic design process including specification, formulation, optimization, technology mapping, and verification.
- Common functional blocks like decoders, encoders, multiplexers and their uses.
- Design of half adders, full adders, half subtractors, full subtractors and binary adders/subtractors.
- Implementation of logic functions using multiplexers and demultiplexers.
- Other topics like parity generators, code converters and hazards in combinational circuits.
ASIC VS FPGA.ppt
ASIC VS FPGA.pptgopakumar885691 FPGAs were introduced in 1984 as a programmable alternative to PLDs. They fill the gap between discrete logic and smaller PLDs on the low end and more expensive ASICs on the high end. The basic elements of an FPGA are configurable logic blocks (CLBs), configurable I/O blocks (IOBs), and a programmable interconnect. FPGAs from vendors like Xilinx and Altera have a regular architecture of CLBs surrounded by IOBs and connected via a hierarchy of programmable interconnects.
Architecture et programmation des circuits CPLD et des FPGA
Architecture et programmation des circuits CPLD et des FPGAChiheb Ouaghlani Le document traite de l'architecture et de la programmation des circuits CPLD et FPGA, en mettant en évidence l'évolution technologique et applicative qui a permis des systèmes électroniques plus complexes et miniaturisés. Il explique les différentes cibles matérielles, en soulignant les avantages des CPLD et FPGA pour des applications spécifiques, tout en abordant les contraintes de conception. En outre, le texte décrit en détail l'architecture interne des CPLD et FPGA, ainsi que leur fonctionnement et leurs utilisations dans divers domaines industriels.
H261
H261Videoguy H.261 is a video coding standard published in 1990 by ITU-T for videoconferencing over ISDN networks. It uses techniques like DCT, motion compensation, and entropy coding to achieve compression ratios over 100:1 for video calling. H.261 remains widely used in applications like Windows NetMeeting and video conferencing standards H.320, H.323, and H.324.
Audio compression
Audio compressionMadhawa Gunasekara The document discusses audio compression techniques. It begins with an introduction to pulse code modulation (PCM) and then describes μ-law and A-law compression standards which compress audio using companding algorithms. It also covers differential PCM and adaptive differential PCM (ADPCM) techniques. The document then discusses the MPEG audio compression standard, including its encoder architecture, three layer standards (Layers I, II, III), and applications. It concludes with a comparison of various MPEG audio compression standards and references.
Video coding standards ppt
Video coding standards pptLokesh Reddy Avula Video coding standards define bitstream structures and decoding methods for video compression. Popular standards include MPEG-1/2/4 and H.264/HEVC developed by ISO/IEC and ITU-T. Standards are developed through identification of requirements, algorithm development, selection of core techniques, validation testing, and publication. They enable interoperability and future decoding of emerging standards. [/SUMMARY]
Lzw compression ppt
Lzw compression pptRabia Nazir The document discusses LZW compression, an adaptive dictionary-based compression technique developed by Abraham Lempel, Jakob Ziv, and Terry Welch. It presents LZW compression's implementation, advantages like reducing file size and fast speed, and limitations like being suitable only for repetitive data. The document also describes improving LZW compression through techniques like adaptive Huffman coding and bit plane slicing, and applications of LZW compression in fields like medicine, graphics files, and hardware devices.
Lossless predictive coding
Lossless predictive codingFahad Israr Lossless predictive coding is a method of lossless image compression that preserves data while compressing images by eliminating inter-pixel redundancies. The key process involves predicting the value of a pixel based on previous pixels and encoding the prediction error. Various dimensions of predictive coding (1D, 2D, and 3D) are discussed along with examples illustrating how this approach can lead to efficient coding and potential overloading issues.
WIlfried K. AGBO- Exposé sur la Cryptographie
WIlfried K. AGBO- Exposé sur la CryptographieWilfreid AGBO Ce document traite de la cryptographie, une discipline à la croisée des mathématiques, de l'informatique et de la physique, qui permet de garantir la confidentialité, l'authenticité et l'intégrité des informations. Il détaille les origines historiques, les différents types de chiffrement et les techniques employées au cours du temps, y compris la stéganographie et les systèmes de chiffrement de l'antiquité. L'exposé souligne également l'importance de la cryptographie dans la sécurité des systèmes d'information.
Predictive coding
Predictive codingp_ayal This document discusses predictive coding, which achieves data compression by predicting pixel values and encoding only prediction errors. It describes lossless predictive coding, which exactly reconstructs data, and lossy predictive coding, which introduces errors. Lossy predictive coding inserts quantization after prediction error calculation, mapping errors to a limited range to control compression and distortion. Common predictive coding techniques include linear prediction of pixels from neighboring values and delta modulation.
Steganography
Steganography Presentaionslive.blogspot.com The document discusses the significance of data security in internet communications, specifically highlighting cryptography and steganography as two primary methods for safeguarding information. Steganography conceals the existence of a message by embedding it within other data, using various techniques such as images and audio files, and has historical roots dating back to ancient Greece. It emphasizes the dual nature of steganography as a beneficial tool for secure communication and a potential threat when misused for malicious purposes.
Lzw coding technique for image compression
Lzw coding technique for image compressionTata Consultancy Services LZW coding is a lossless compression technique that removes spatial redundancies in images. It works by assigning variable length code words to sequences of input symbols using a dictionary. As the dictionary grows, longer matches are encoded, improving compression ratios. LZW compression is fast, simple to implement, and effective for images with repeating patterns, making it widely used in formats like GIF and TIFF [END SUMMARY]
Video Compression Standards - History & Introduction
Video Compression Standards - History & IntroductionChamp Yen This document provides an overview of several video compression standards including MPEG-1/2, MPEG-4, H.264, and HEVC/H.265. It discusses the key concepts of video coding such as entropy coding, quantization, transformation, and intra- and inter-prediction. For each standard, it describes the main coding tools and improvements over previous standards, focusing on techniques for more efficient prediction and extraction of redundant spatial and temporal information while maintaining quality. The development of these standards has moved towards more fine-grained partitioning and new coding ideas and tools to reduce bitrates further.
Honeybadger of BFT Protocols
Honeybadger of BFT ProtocolsYongraeJo HoneyBadgerBFT is a Byzantine fault tolerant consensus protocol that achieves consensus in an asynchronous network without relying on timing assumptions. It uses a modular approach consisting of five modules - HoneyBadgerBFT, ACS, RBC, BA, and CommonCoin. HoneyBadgerBFT implements atomic broadcast through threshold encryption to provide censorship resistance. It relies on ACS for agreement on a common subset, RBC for reliable broadcast, BA for binary agreement, and CommonCoin for random bits. The protocol was implemented and evaluated on Amazon EC2 across different regions and instance counts.
MD5 ALGORITHM.pptx
MD5 ALGORITHM.pptxRajapriya82 The MD5 algorithm is a cryptographic hash function that generates a 128-bit digest from a message of any length. It works by first padding the message to a length that is a multiple of 512 bits, then appending the message length. It initializes buffers and processes the message in 512-bit blocks using four rounds of 16 operations each, applying different functions to update the buffers. The final buffer values become the MD5 digest. It is commonly used to verify file integrity but is now considered insecure due to possible hash collisions.
RPL - Routing Protocol for Low Power and Lossy Networks
RPL - Routing Protocol for Low Power and Lossy NetworksPradeep Kumar TS RPL is a distance vector routing protocol designed for low power and lossy networks. It forms a Destination Oriented Directed Acyclic Graph (DODAG) topology with the root node at the top. Nodes in the RPL network are assigned a rank based on their position relative to the DODAG root, with downward routes following increasing ranks and upward routes following decreasing ranks. RPL uses DIO, DIS, DAO, DAO-ACK and CC control messages to construct and maintain the DODAG topology as well as advertise routes and ensure consistency.
An Overview of High Efficiency Video Codec HEVC (H.265)
An Overview of High Efficiency Video Codec HEVC (H.265)Varun Ravi The document provides an overview of the High Efficiency Video Coding (HEVC) H.265 standard. It discusses the need for improved video compression standards due to increasing video content and limited bandwidth. HEVC was developed to meet this need by providing around 50% better compression over its predecessor H.264 while still maintaining high video quality. The document describes the various techniques used in HEVC such as improved block partitioning, transform sizes, prediction modes, and entropy coding that help achieve its compression gains. Both hardware and software implementations of HEVC decoders and encoders are discussed.
Public Key Cryptography
Public Key CryptographyGopal Sakarkar Public key cryptography uses two keys, a public key that can encrypt messages and a private key that decrypts messages. It has six components: plain text, encryption algorithm, public and private keys, ciphertext, and decryption algorithm. Some key characteristics are that it is computationally infeasible to determine the private key from the public key alone, and encryption/decryption is easy when the relevant key is known. The requirements of public key cryptography are that it is easy to generate a public-private key pair, easy to encrypt with the public key, easy for the recipient to decrypt with the private key, and infeasible to determine the private key from the public key or recover the plaintext from the ciphertext and public key alone
Dictionary Based Compression
Dictionary Based Compressionanithabalaprabhu This document discusses various data compression techniques. It begins with an introduction to compression and its goals of reducing storage space and transmission time. Then it discusses lossless techniques like Huffman coding, Lempel-Ziv coding, run-length encoding and pattern substitution. The document also briefly covers lossy compression and entropy encoding algorithms like Shannon-Fano coding and arithmetic coding. Key compression methods and their applications are summarized throughout.
Report-Implementation of Quantum Gates using Verilog
Report-Implementation of Quantum Gates using VerilogShashank Kumar The document details a virtual research internship project aimed at implementing quantum gates and simulating them using Verilog, conducted by Shashank Kumar at the Defence Institute of Advanced Technology. It outlines objectives, proposed solutions, and experimental results regarding the execution of quantum logic gates using IBM Quantum Composer and Verilog. The findings highlight that quantum circuits can provide reversible computation, unlike classical logic gates, thereby offering energy efficiency and better performance in information processing.
Code GPU with CUDA - SIMT
Code GPU with CUDA - SIMTMarina Kolpakova This document summarizes key aspects of GPU hardware and the SIMT (Single Instruction Multiple Thread) architecture used in NVIDIA GPUs. It describes the evolution of NVIDIA GPU hardware, the differences between latency-oriented CPUs and throughput-oriented GPUs, how SIMT combines SIMD and threading, warp scheduling, divergence and convergence, predicated and conditional execution.
2 1
2 1Arthur Sanchez This document describes a bit-serial message-passing low-density parity-check (LDPC) decoder. It discusses the history and use of channel coding and different coding techniques. It then explains the structure and min-sum decoding algorithm for LDPC codes. The document proposes a bit-serial message passing technique for the decoder architecture to reduce routing congestion compared to fully parallel architectures. It provides implementation details of an application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) version of the decoder.
Phd Defence
Phd DefenceAmira Alloum The document discusses non-systematic low-density parity-check (LDPC) codes for encoding redundant data. It proposes two encoding structures: scrambling-LDPC, which scrambles the source bits before encoding with an LDPC code, and splitting-LDPC, which splits the source bits and encodes them separately. It also describes source-controlled sum-product decoding, where the decoding takes into account the source statistics. Simulation results show that non-systematic codes outperform systematic codes and approach the theoretical limits at lower signal-to-noise ratios when the source has redundancy.
More Related Content
What's hot (20)
ASIC VS FPGA.ppt
ASIC VS FPGA.pptgopakumar885691 FPGAs were introduced in 1984 as a programmable alternative to PLDs. They fill the gap between discrete logic and smaller PLDs on the low end and more expensive ASICs on the high end. The basic elements of an FPGA are configurable logic blocks (CLBs), configurable I/O blocks (IOBs), and a programmable interconnect. FPGAs from vendors like Xilinx and Altera have a regular architecture of CLBs surrounded by IOBs and connected via a hierarchy of programmable interconnects.
Architecture et programmation des circuits CPLD et des FPGA
Architecture et programmation des circuits CPLD et des FPGAChiheb Ouaghlani Le document traite de l'architecture et de la programmation des circuits CPLD et FPGA, en mettant en évidence l'évolution technologique et applicative qui a permis des systèmes électroniques plus complexes et miniaturisés. Il explique les différentes cibles matérielles, en soulignant les avantages des CPLD et FPGA pour des applications spécifiques, tout en abordant les contraintes de conception. En outre, le texte décrit en détail l'architecture interne des CPLD et FPGA, ainsi que leur fonctionnement et leurs utilisations dans divers domaines industriels.
H261
H261Videoguy H.261 is a video coding standard published in 1990 by ITU-T for videoconferencing over ISDN networks. It uses techniques like DCT, motion compensation, and entropy coding to achieve compression ratios over 100:1 for video calling. H.261 remains widely used in applications like Windows NetMeeting and video conferencing standards H.320, H.323, and H.324.
Audio compression
Audio compressionMadhawa Gunasekara The document discusses audio compression techniques. It begins with an introduction to pulse code modulation (PCM) and then describes μ-law and A-law compression standards which compress audio using companding algorithms. It also covers differential PCM and adaptive differential PCM (ADPCM) techniques. The document then discusses the MPEG audio compression standard, including its encoder architecture, three layer standards (Layers I, II, III), and applications. It concludes with a comparison of various MPEG audio compression standards and references.
Video coding standards ppt
Video coding standards pptLokesh Reddy Avula Video coding standards define bitstream structures and decoding methods for video compression. Popular standards include MPEG-1/2/4 and H.264/HEVC developed by ISO/IEC and ITU-T. Standards are developed through identification of requirements, algorithm development, selection of core techniques, validation testing, and publication. They enable interoperability and future decoding of emerging standards. [/SUMMARY]
Lzw compression ppt
Lzw compression pptRabia Nazir The document discusses LZW compression, an adaptive dictionary-based compression technique developed by Abraham Lempel, Jakob Ziv, and Terry Welch. It presents LZW compression's implementation, advantages like reducing file size and fast speed, and limitations like being suitable only for repetitive data. The document also describes improving LZW compression through techniques like adaptive Huffman coding and bit plane slicing, and applications of LZW compression in fields like medicine, graphics files, and hardware devices.
Lossless predictive coding
Lossless predictive codingFahad Israr Lossless predictive coding is a method of lossless image compression that preserves data while compressing images by eliminating inter-pixel redundancies. The key process involves predicting the value of a pixel based on previous pixels and encoding the prediction error. Various dimensions of predictive coding (1D, 2D, and 3D) are discussed along with examples illustrating how this approach can lead to efficient coding and potential overloading issues.
WIlfried K. AGBO- Exposé sur la Cryptographie
WIlfried K. AGBO- Exposé sur la CryptographieWilfreid AGBO Ce document traite de la cryptographie, une discipline à la croisée des mathématiques, de l'informatique et de la physique, qui permet de garantir la confidentialité, l'authenticité et l'intégrité des informations. Il détaille les origines historiques, les différents types de chiffrement et les techniques employées au cours du temps, y compris la stéganographie et les systèmes de chiffrement de l'antiquité. L'exposé souligne également l'importance de la cryptographie dans la sécurité des systèmes d'information.
Predictive coding
Predictive codingp_ayal This document discusses predictive coding, which achieves data compression by predicting pixel values and encoding only prediction errors. It describes lossless predictive coding, which exactly reconstructs data, and lossy predictive coding, which introduces errors. Lossy predictive coding inserts quantization after prediction error calculation, mapping errors to a limited range to control compression and distortion. Common predictive coding techniques include linear prediction of pixels from neighboring values and delta modulation.
Steganography
Steganography Presentaionslive.blogspot.com The document discusses the significance of data security in internet communications, specifically highlighting cryptography and steganography as two primary methods for safeguarding information. Steganography conceals the existence of a message by embedding it within other data, using various techniques such as images and audio files, and has historical roots dating back to ancient Greece. It emphasizes the dual nature of steganography as a beneficial tool for secure communication and a potential threat when misused for malicious purposes.
Lzw coding technique for image compression
Lzw coding technique for image compressionTata Consultancy Services LZW coding is a lossless compression technique that removes spatial redundancies in images. It works by assigning variable length code words to sequences of input symbols using a dictionary. As the dictionary grows, longer matches are encoded, improving compression ratios. LZW compression is fast, simple to implement, and effective for images with repeating patterns, making it widely used in formats like GIF and TIFF [END SUMMARY]
Video Compression Standards - History & Introduction
Video Compression Standards - History & IntroductionChamp Yen This document provides an overview of several video compression standards including MPEG-1/2, MPEG-4, H.264, and HEVC/H.265. It discusses the key concepts of video coding such as entropy coding, quantization, transformation, and intra- and inter-prediction. For each standard, it describes the main coding tools and improvements over previous standards, focusing on techniques for more efficient prediction and extraction of redundant spatial and temporal information while maintaining quality. The development of these standards has moved towards more fine-grained partitioning and new coding ideas and tools to reduce bitrates further.
Honeybadger of BFT Protocols
Honeybadger of BFT ProtocolsYongraeJo HoneyBadgerBFT is a Byzantine fault tolerant consensus protocol that achieves consensus in an asynchronous network without relying on timing assumptions. It uses a modular approach consisting of five modules - HoneyBadgerBFT, ACS, RBC, BA, and CommonCoin. HoneyBadgerBFT implements atomic broadcast through threshold encryption to provide censorship resistance. It relies on ACS for agreement on a common subset, RBC for reliable broadcast, BA for binary agreement, and CommonCoin for random bits. The protocol was implemented and evaluated on Amazon EC2 across different regions and instance counts.
MD5 ALGORITHM.pptx
MD5 ALGORITHM.pptxRajapriya82 The MD5 algorithm is a cryptographic hash function that generates a 128-bit digest from a message of any length. It works by first padding the message to a length that is a multiple of 512 bits, then appending the message length. It initializes buffers and processes the message in 512-bit blocks using four rounds of 16 operations each, applying different functions to update the buffers. The final buffer values become the MD5 digest. It is commonly used to verify file integrity but is now considered insecure due to possible hash collisions.
RPL - Routing Protocol for Low Power and Lossy Networks
RPL - Routing Protocol for Low Power and Lossy NetworksPradeep Kumar TS RPL is a distance vector routing protocol designed for low power and lossy networks. It forms a Destination Oriented Directed Acyclic Graph (DODAG) topology with the root node at the top. Nodes in the RPL network are assigned a rank based on their position relative to the DODAG root, with downward routes following increasing ranks and upward routes following decreasing ranks. RPL uses DIO, DIS, DAO, DAO-ACK and CC control messages to construct and maintain the DODAG topology as well as advertise routes and ensure consistency.
An Overview of High Efficiency Video Codec HEVC (H.265)
An Overview of High Efficiency Video Codec HEVC (H.265)Varun Ravi The document provides an overview of the High Efficiency Video Coding (HEVC) H.265 standard. It discusses the need for improved video compression standards due to increasing video content and limited bandwidth. HEVC was developed to meet this need by providing around 50% better compression over its predecessor H.264 while still maintaining high video quality. The document describes the various techniques used in HEVC such as improved block partitioning, transform sizes, prediction modes, and entropy coding that help achieve its compression gains. Both hardware and software implementations of HEVC decoders and encoders are discussed.
Public Key Cryptography
Public Key CryptographyGopal Sakarkar Public key cryptography uses two keys, a public key that can encrypt messages and a private key that decrypts messages. It has six components: plain text, encryption algorithm, public and private keys, ciphertext, and decryption algorithm. Some key characteristics are that it is computationally infeasible to determine the private key from the public key alone, and encryption/decryption is easy when the relevant key is known. The requirements of public key cryptography are that it is easy to generate a public-private key pair, easy to encrypt with the public key, easy for the recipient to decrypt with the private key, and infeasible to determine the private key from the public key or recover the plaintext from the ciphertext and public key alone
Dictionary Based Compression
Dictionary Based Compressionanithabalaprabhu This document discusses various data compression techniques. It begins with an introduction to compression and its goals of reducing storage space and transmission time. Then it discusses lossless techniques like Huffman coding, Lempel-Ziv coding, run-length encoding and pattern substitution. The document also briefly covers lossy compression and entropy encoding algorithms like Shannon-Fano coding and arithmetic coding. Key compression methods and their applications are summarized throughout.
Report-Implementation of Quantum Gates using Verilog
Report-Implementation of Quantum Gates using VerilogShashank Kumar The document details a virtual research internship project aimed at implementing quantum gates and simulating them using Verilog, conducted by Shashank Kumar at the Defence Institute of Advanced Technology. It outlines objectives, proposed solutions, and experimental results regarding the execution of quantum logic gates using IBM Quantum Composer and Verilog. The findings highlight that quantum circuits can provide reversible computation, unlike classical logic gates, thereby offering energy efficiency and better performance in information processing.
Code GPU with CUDA - SIMT
Code GPU with CUDA - SIMTMarina Kolpakova This document summarizes key aspects of GPU hardware and the SIMT (Single Instruction Multiple Thread) architecture used in NVIDIA GPUs. It describes the evolution of NVIDIA GPU hardware, the differences between latency-oriented CPUs and throughput-oriented GPUs, how SIMT combines SIMD and threading, warp scheduling, divergence and convergence, predicated and conditional execution.
Viewers also liked (6)
2 1
2 1Arthur Sanchez This document describes a bit-serial message-passing low-density parity-check (LDPC) decoder. It discusses the history and use of channel coding and different coding techniques. It then explains the structure and min-sum decoding algorithm for LDPC codes. The document proposes a bit-serial message passing technique for the decoder architecture to reduce routing congestion compared to fully parallel architectures. It provides implementation details of an application-specific integrated circuit (ASIC) and field-programmable gate array (FPGA) version of the decoder.
Phd Defence
Phd DefenceAmira Alloum The document discusses non-systematic low-density parity-check (LDPC) codes for encoding redundant data. It proposes two encoding structures: scrambling-LDPC, which scrambles the source bits before encoding with an LDPC code, and splitting-LDPC, which splits the source bits and encodes them separately. It also describes source-controlled sum-product decoding, where the decoding takes into account the source statistics. Simulation results show that non-systematic codes outperform systematic codes and approach the theoretical limits at lower signal-to-noise ratios when the source has redundancy.
Miami in touch-amdocs-lte-2011-05-16-handout
Miami in touch-amdocs-lte-2011-05-16-handoutArthur Sanchez Vodafone Germany implemented an Amdocs OSS solution for their LTE deployments to accelerate processes for LTE planning and rollout. The Amdocs solution provided automated inventory, provisioning, and maintenance capabilities for LTE equipment. This improved planner efficiency and reduced TCO. Initial results showed accelerated ROI through an early milestone and improved collaboration between teams. Lessons learned included having an onsite Amdocs presence, securing management attention, and balancing design documentation with flexibility.
02 ldpc bit flipping_decoding_dark knight
02 ldpc bit flipping_decoding_dark knightDevanshi Piprottar The document discusses low density parity check (LDPC) codes. It begins with a brief history of LDPC codes, invented by Gallager in 1960 but rediscovered in the 1990s. It then discusses linear block codes and how they can be represented by generator and parity check matrices. The key properties of LDPC codes are described, including their sparse parity check matrix and regular or irregular structure. Decoding of LDPC codes using tanner graphs and hard decision bit flipping algorithms is explained. Finally, some applications of LDPC codes in communication systems and data storage are provided.
LDPC - Low Density Parity Check Matrix
LDPC - Low Density Parity Check MatrixKavi The document describes an LDPC (Low Density Parity Check) codes project done by a group of students. Key points:
- The group generated a sparse parity check matrix H for LDPC encoding that avoids cycles of length 4.
- They implemented LDPC encoding in MATLAB and Verilog, calculating parity bits from the input message bits using the formula p = (B^-1) * (Au^T).
- The Verilog implementation was tested on a Nexys-2 FPGA board, with input bits entered via switches and parity bits output to LEDs.
- The project was completed over 8 weeks. While it demonstrated LDPC encoding, the group noted the encoder has high delay and
LDPC Codes
LDPC CodesSahar Foroughi This document provides an overview of low-density parity-check (LDPC) codes. It discusses Shannon's coding theorem and the evolution of coding technology. LDPC codes were invented by Gallager in 1963 and have simple decoding algorithms that allow them to achieve performance close to the Shannon limit. The document defines regular and irregular LDPC codes using parity check matrices and Tanner graphs. It also discusses code construction, applications of LDPC codes in wireless communications standards, and concludes that LDPC codes are becoming the mainstream in coding technology.
Ad
Similar to Low power ldpc decoder implementation using layer decoding (20)
REDUCED COMPLEXITY QUASI-CYCLIC LDPC ENCODER FOR IEEE 802.11N
REDUCED COMPLEXITY QUASI-CYCLIC LDPC ENCODER FOR IEEE 802.11N VLSICS Design This paper presents a low complexity quasi-cyclic low-density parity-check (QC-LDPC) encoder designed for the IEEE 802.11n wireless LAN standard, achieving a throughput of 12.12 Gbps at a clock frequency of 301.433 MHz. The architecture avoids conventional block memories and cyclic-shifters, resulting in reduced hardware complexity while maintaining high speed and efficiency. The proposed method leverages a lower-triangular algorithm and structured LDPC codes to optimize the encoding process.
LDPC Encoding and Hamming Encoding
LDPC Encoding and Hamming EncodingBhagwat Singh Rathore The document is a project report on Low-Density Parity-Check (LDPC) encoding, detailing its history, theory, generation methods, and practical applications in digital communication. It discusses encoding and decoding processes, comparing LDPC with Hamming codes, and presents results from simulations showcasing similar outputs for both coding methods using the same generator matrix. Additionally, the report highlights industrial applications of LDPC codes, particularly their role in error correction and energy-efficient data transmission.
Fpga implementation of linear ldpc encoder
Fpga implementation of linear ldpc encodereSAT Journals The paper presents an FPGA implementation of a linear time Low-Density Parity-Check (LDPC) encoder designed to handle large input message sizes with reduced complexity compared to traditional methods. Simulated on multiple platforms, the encoder's performance is evaluated in terms of speed and area, with results showing effective area and speed comparisons on various FPGA platforms. Key aspects include the construction of binary LDPC codes, efficient encoding algorithms, and the hardware implementation executed on a Xilinx Spartan 3E FPGA starter kit.
Fpga implementation of linear ldpc encoder
Fpga implementation of linear ldpc encodereSAT Publishing House The document presents an FPGA implementation of a linear time Low-Density Parity-Check (LDPC) encoder capable of handling large input message sizes, demonstrating reduced complexity compared to traditional generator matrix based encoders. It describes the construction of LDPC codes, encoding techniques using generator and parity-check matrices, and provides simulation results of the encoder on different FPGA platforms. Key aspects include efficient encoding algorithms and hardware architecture optimized for speed and area.
Ab4102211213
Ab4102211213IJERA Editor The document discusses a proposed reconfigurable architecture for decoding both turbo and LDPC (Low-Density Parity-Check) codes, highlighting its flexibility and minimal complexity overhead. It details the implementation of a modified shuffled iterative encoding process for non-binary LDPC codes, emphasizing parallel processing of input data to enhance efficiency. Simulation results for 4-bit and 32-bit LDPC codes demonstrate the effectiveness of the proposed architecture in achieving dynamic switching among communication standards without pausing decoding.
FPGA Implementation of LDPC Encoder for Terrestrial Television
FPGA Implementation of LDPC Encoder for Terrestrial TelevisionAI Publications This document details the implementation of a Low-Density Parity-Check (LDPC) encoder on an FPGA for terrestrial television transmission, specifically according to the Chinese DTMB standard. It highlights the advantages of LDPC codes, including their error correction capabilities and efficiency in handling noisy channels, while comparing them to existing methods like RS coding. The reported results demonstrate improved transmission rates and potential for enhanced picture quality within the same bandwidth, emphasizing the LDPC encoder's effectiveness and lower complexity.
FPGA Hardware Design of Different LDPC Applications: Survey
FPGA Hardware Design of Different LDPC Applications: SurveyBRNSSPublicationHubI This document summarizes research on FPGA hardware designs for LDPC error correction applications. It discusses how LDPC codes offer resilient error correction through iterative decoding algorithms like belief propagation and min-sum. The document reviews several FPGA implementations of LDPC decoders in terms of code length, throughput, resource usage, and other metrics. It finds that FPGAs are well-suited for LDPC decoding due to their parallelism and reconfigurability compared to general processors.
Optimizing Data Encoding Technique For Dynamic Power Reduction In Network On ...
Optimizing Data Encoding Technique For Dynamic Power Reduction In Network On ...IRJET Journal This document summarizes a research paper that proposes three data encoding schemes to reduce dynamic power consumption in Network-on-Chip (NoC) systems. The schemes aim to minimize bit transitions on the data path by considering different transition types like odd, even and full. The schemes are evaluated by replacing the encoder in Low Density Parity Check (LDPC) coding with the proposed schemes. Simulation results show the three schemes reduce dynamic power compared to normal LDPC. Scheme 3 provides the most reduction by integrating even and odd inversion to minimize transitions between categories. The proposed techniques yield meaningful power savings for dynamic power reduction in NoCs.
Ebc7fc8ba9801f03982acec158fa751744ca copie
Ebc7fc8ba9801f03982acec158fa751744ca copieSourour Kanzari The document describes an implementation of an LDPC decoder for IEEE 802.11n wireless networks using Vivado High-Level Synthesis. It implemented the decoder as a C program using Vivado HLS directives to optimize parallelism and throughput. The implementation achieved throughputs of over 1 Gbps and error correction performance comparable to an RTL implementation but with higher productivity due to the higher level of abstraction of C compared to RTL.
C04922125
C04922125IOSR-JEN This document discusses the design and implementation of low density parity check (LDPC) codes. It begins with an introduction to LDPC codes, including their representation using parity check matrices and Tanner graphs. It then describes encoding and decoding algorithms for LDPC codes, focusing on belief propagation and message passing algorithms for decoding. Specifically, it covers hard decision decoding, soft decision decoding, and how LDPC codes can detect and correct errors. The document also discusses the construction of LDPC codes, mentioning methods proposed by Gallager, McKay and Neal, and for repeat accumulation codes.
Error control coding techniques
Error control coding techniquesDhanashriNandre This document provides an overview of error control coding techniques, specifically cyclic codes and low-density parity-check (LDPC) codes. It begins with an introduction to the need for error correcting codes and definitions of error detection and correction. It then discusses cyclic codes in more detail, covering encoding and decoding techniques like polynomial and shift register methods. LDPC codes are also explained, including their representation via Tanner graphs and decoding algorithms. The document presents examples and applications of both code types. It concludes by discussing areas for future research and summarizing that error codes can effectively protect against random and burst errors in real-time systems.
Lecture summary: architectures for baseband signal processing of wireless com...
Lecture summary: architectures for baseband signal processing of wireless com...Frank Kienle The problem with this parallel processing of the interleaver is that it requires random access to the memory locations storing the interleaved addresses. However, achieving random access to multiple memory locations in parallel is difficult and inefficient in hardware implementations. It is better to generate the interleaved addresses sequentially rather than requiring parallel random access.
Reduced Energy Min-Max Decoding Algorithm for Ldpc Code with Adder Correction...
Reduced Energy Min-Max Decoding Algorithm for Ldpc Code with Adder Correction...ijceronline This document discusses the reduced energy min-max decoding algorithm for non-binary low-density parity-check (nb-LDPC) codes, emphasizing the advantages of reduced complexity and energy consumption in decoder architectures. The proposed solution improves throughput while addressing issues like message congestion and hardware storage limitations. It presents innovations in the decoding process and analyses the benefits of implementing this algorithm within CMOS technology.
Proposal
ProposalShaikh M Karim This document discusses using low density generator matrix (LDGM) codes for source coding and joint source-channel coding of correlated sources. Key points:
- LDGM codes can achieve near-Shannon limit performance for channel coding with lower complexity than LDPC codes. Serial and parallel concatenated LDGM codes are proposed.
- LDGM codes are applied to source coding of correlated sources modeled by a hidden Markov model. Simulation results show the codes achieve rates close to the theoretical limits.
- LDGM codes are also used for joint source-channel coding of correlated sources over independent noisy channels. Different decoding schedules are evaluated. Results show the codes perform well for both AWGN and Rayleigh fading channels.
Analysis of LDPC Codes under Wi-Max IEEE 802.16e
Analysis of LDPC Codes under Wi-Max IEEE 802.16eIJERD Editor This paper analyzes Low-Density Parity-Check (LDPC) codes under the IEEE 802.16e standard, demonstrating their effectiveness in transmitting messages over noisy channels with low Bit Error Rate (BER) performance. The study highlights encoding and decoding techniques while identifying the trade-offs between complexity and performance, emphasizing the potential for LDPC codes to approach Shannon capacity. The results show that increased block length leads to improved performance, making LDPC codes viable for efficient communication in WiMAX systems.
IRJET - Wireless Transmission of Data using LDPC Codes based on Raspberry Pi
IRJET - Wireless Transmission of Data using LDPC Codes based on Raspberry PiIRJET Journal This document summarizes several research papers on low-density parity-check (LDPC) coding for wireless data transmission using Raspberry Pi modules. Specifically:
(1) It discusses implementations of LDPC encoding and decoding of text data using Raspberry Pi modules connected over Wi-Fi, with decoding using sum-product algorithms.
(2) It mentions other research on minimizing bit error rate using specific LDPC parity matrix structures and efficient encoding/decoding techniques.
(3) The document reviews various approaches to LDPC coding implementation including using FPGAs, ZigBee modules, and novel decoding algorithms.
Design and implementation of log domain decoder
Design and implementation of log domain decoder IJECEIAES This document discusses the design and implementation of a log domain decoder for low-density parity-check (LDPC) codes, which are crucial for error correction in modern communication systems like 5G. The authors implement the decoder using Xilinx System Generator and FPGA technology, achieving bit error rates that closely align with theoretical predictions, thereby indicating its efficacy for high data rate applications. The article further details various components of the decoding process, including initialization and message passing algorithms, while highlighting the advantages of using log domain methods for better performance.
Iisrt jona priyaa(1 5)
Iisrt jona priyaa(1 5)IISRT The document discusses a study that implemented low density parity check (LDPC) decoding using a min sum algorithm with reduced complexity compared to existing methods. It used quadrature phase-shift keying (QPSK) modulation to improve bit error rate over previous approaches that used binary phase-shift keying (BPSK) modulation. The proposed method was able to achieve a lower bit error rate than other existing techniques using fewer iterations, improving performance flexibility by varying the code size. It implemented LDPC decoding on an irregular parity check matrix using a split row technique to reduce interconnect complexity and increase parallelism in the row processing stage compared to standard decoding algorithms.
GF(q) LDPC encoder and decoder FPGA implementation using group shuffled beli...
GF(q) LDPC encoder and decoder FPGA implementation using group shuffled beli...IJECEIAES This paper discusses the FPGA implementation of a GF(q) Low-Density Parity-Check (LDPC) encoder and decoder using the Group Shuffled Belief Propagation (GSBP) algorithm, highlighting the advantages of non-binary LDPC codes over binary ones. The study shows that the implemented decoder achieves significant error correction performance while reducing complexity through an innovative architecture. The results demonstrate effective error correction rates close to the Shannon limit in a simulated AWGN channel environment.
vorlage
vorlageKarim Safty This document summarizes a bachelor thesis that implemented and simulated various low-density parity-check (LDPC) codes in fast fading environments. The thesis first provides background on channel coding, LDPC codes, channel models, and performance metrics. It then describes generating a simulation model in MATLAB to test LDPC codes over Rayleigh fading channels and additive white Gaussian noise channels. Results are presented on bit error rate performance and extrinsic information transfer charts. The goal was to evaluate LDPC code performance and design an effective system concept validated through computer simulation.
Ad
Recently uploaded (20)
Salesforce Summer '25 Release Frenchgathering.pptx.pdf
Salesforce Summer '25 Release Frenchgathering.pptx.pdfyosra Saidani Salesforce Summer '25 Release Frenchgathering.pptx.pdf
PyCon SG 25 - Firecracker Made Easy with Python.pdf
PyCon SG 25 - Firecracker Made Easy with Python.pdfMuhammad Yuga Nugraha Explore the ease of managing Firecracker microVM with the firecracker-python. In this session, I will introduce the basics of Firecracker microVM and demonstrate how this custom SDK facilitates microVM operations easily. We will delve into the design and development process behind the SDK, providing a behind-the-scenes look at its creation and features. While traditional Firecracker SDKs were primarily available in Go, this module brings a simplicity of Python to the table.
OpenPOWER Foundation & Open-Source Core Innovations
OpenPOWER Foundation & Open-Source Core InnovationsIBM penPOWER offers a fully open, royalty-free CPU architecture for custom chip design.
It enables both lightweight FPGA cores (like Microwatt) and high-performance processors (like POWER10).
Developers have full access to source code, specs, and tools for end-to-end chip creation.
It supports AI, HPC, cloud, and embedded workloads with proven performance.
Backed by a global community, it fosters innovation, education, and collaboration.
AI VIDEO MAGAZINE - June 2025 - r/aivideo
AI VIDEO MAGAZINE - June 2025 - r/aivideo1pcity Studios, Inc AI VIDEO MAGAZINE - r/aivideo community newsletter – Exclusive Tutorials: How to make an AI VIDEO from scratch, PLUS: How to make AI MUSIC, Hottest ai videos of 2025, Exclusive Interviews, New Tools, Previews, and MORE - JUNE 2025 ISSUE -
Security Tips for Enterprise Azure Solutions
Security Tips for Enterprise Azure SolutionsMichele Leroux Bustamante Delivering solutions to Azure may involve a variety of architecture patterns involving your applications, APIs data and associated Azure resources that comprise the solution. This session will use reference architectures to illustrate the security considerations to protect your Azure resources and data, how to achieve Zero Trust, and why it matters. Topics covered will include specific security recommendations for types Azure resources and related network security practices. The goal is to give you a breadth of understanding as to typical security requirements to meet compliance and security controls in an enterprise solution.
A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdf
A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy.pdfPriyanka Aash A Constitutional Quagmire - Ethical Minefields of AI, Cyber, and Privacy
Cracking the Code - Unveiling Synergies Between Open Source Security and AI.pdf
Cracking the Code - Unveiling Synergies Between Open Source Security and AI.pdfPriyanka Aash Cracking the Code - Unveiling Synergies Between Open Source Security and AI
cnc-processing-centers-centateq-p-110-en.pdf
cnc-processing-centers-centateq-p-110-en.pdfAmirStern2 מרכז עיבודים תעשייתי בעל 3/4/5 צירים, עד 22 החלפות כלים עם כל אפשרויות העיבוד הדרושות. בעל שטח עבודה גדול ומחשב נוח וקל להפעלה בשפה העברית/רוסית/אנגלית/ספרדית/ערבית ועוד..
מסוגל לבצע פעולות עיבוד שונות המתאימות לענפים שונים: קידוח אנכי, אופקי, ניסור, וכרסום אנכי.
Connecting Data and Intelligence: The Role of FME in Machine Learning
Connecting Data and Intelligence: The Role of FME in Machine LearningSafe Software In this presentation, we want to explore powerful data integration and preparation for Machine Learning. FME is known for its ability to manipulate and transform geospatial data, connecting diverse data sources into efficient and automated workflows. By integrating FME with Machine Learning techniques, it is possible to transform raw data into valuable insights faster and more accurately, enabling intelligent analysis and data-driven decision making.
The Future of Product Management in AI ERA.pdf
The Future of Product Management in AI ERA.pdfAlyona Owens Hi, I’m Aly Owens, I have a special pleasure to stand here as over a decade ago I graduated from CityU as an international student with an MBA program. I enjoyed the diversity of the school, ability to work and study, the network that came with being here, and of course the price tag for students here has always been more affordable than most around.
Since then I have worked for major corporations like T-Mobile and Microsoft and many more, and I have founded a startup. I've also been teaching product management to ensure my students save time and money to get to the same level as me faster avoiding popular mistakes. Today as I’ve transitioned to teaching and focusing on the startup, I hear everybody being concerned about Ai stealing their jobs… We’ll talk about it shortly.
But before that, I want to take you back to 1997. One of my favorite movies is “Fifth Element”. It wowed me with futuristic predictions when I was a kid and I’m impressed by the number of these predictions that have already come true. Self-driving cars, video calls and smart TV, personalized ads and identity scanning. Sci-fi movies and books gave us many ideas and some are being implemented as we speak. But we often get ahead of ourselves:
Flying cars,Colonized planets, Human-like AI: not yet, Time travel, Mind-machine neural interfaces for everyone: Only in experimental stages (e.g. Neuralink).
Cyberpunk dystopias: Some vibes (neon signs + inequality + surveillance), but not total dystopia (thankfully).
On the bright side, we predict that the working hours should drop as Ai becomes our helper and there shouldn’t be a need to work 8 hours/day. Nobody knows for sure but we can require that from legislation. Instead of waiting to see what the government and billionaires come up with, I say we should design our own future.
So, we as humans, when we don’t know something - fear takes over. The same thing happened during the industrial revolution. In the Industrial Era, machines didn’t steal jobs—they transformed them but people were scared about their jobs. The AI era is making similar changes except it feels like robots will take the center stage instead of a human. First off, even when it comes to the hottest space in the military - drones, Ai does a fraction of work. AI algorithms enable real-time decision-making, obstacle avoidance, and mission optimization making drones far more autonomous and capable than traditional remote-controlled aircraft. Key technologies include computer vision for object detection, GPS-enhanced navigation, and neural networks for learning and adaptation. But guess what? There are only 2 companies right now that utilize Ai in drones to make autonomous decisions - Skydio and DJI.
Lessons Learned from Developing Secure AI Workflows.pdf
Lessons Learned from Developing Secure AI Workflows.pdfPriyanka Aash Lessons Learned from Developing Secure AI Workflows
AI Agents and FME: A How-to Guide on Generating Synthetic Metadata
AI Agents and FME: A How-to Guide on Generating Synthetic MetadataSafe Software In the world of AI agents, semantics is king. Good metadata is thus essential in an organization's AI readiness checklist. But how do we keep up with the massive influx of new data? In this talk we go over the tips and tricks in generating synthetic metadata for the consumption of human users and AI agents alike.
10 Key Challenges for AI within the EU Data Protection Framework.pdf
10 Key Challenges for AI within the EU Data Protection Framework.pdfPriyanka Aash 10 Key Challenges for AI within the EU Data Protection Framework
Coordinated Disclosure for ML - What's Different and What's the Same.pdf
Coordinated Disclosure for ML - What's Different and What's the Same.pdfPriyanka Aash Coordinated Disclosure for ML - What's Different and What's the Same
GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdf
GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now.pdfPriyanka Aash GenAI Opportunities and Challenges - Where 370 Enterprises Are Focusing Now
You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante We live in an ever evolving landscape for cyber threats creating security risk for your production systems. Mitigating these risks requires participation throughout all stages from development through production delivery - and by every role including architects, developers QA and DevOps engineers, product owners and leadership. No one is excused! This session will cover examples of common mistakes or missed opportunities that can lead to vulnerabilities in production - and ways to do better throughout the development lifecycle.
OpenACC and Open Hackathons Monthly Highlights June 2025
OpenACC and Open Hackathons Monthly Highlights June 2025OpenACC The OpenACC organization focuses on enhancing parallel computing skills and advancing interoperability in scientific applications through hackathons and training. The upcoming 2025 Open Accelerated Computing Summit (OACS) aims to explore the convergence of AI and HPC in scientific computing and foster knowledge sharing. This year's OACS welcomes talk submissions from a variety of topics, from Using Standard Language Parallelism to Computer Vision Applications. The document also highlights several open hackathons, a call to apply for NVIDIA Academic Grant Program and resources for optimizing scientific applications using OpenACC directives.
Cluster-Based Multi-Objective Metamorphic Test Case Pair Selection for Deep N...
Cluster-Based Multi-Objective Metamorphic Test Case Pair Selection for Deep N...janeliewang985 the slides of the MP selection approach CMPS
Raman Bhaumik - Passionate Tech Enthusiast
Raman Bhaumik - Passionate Tech EnthusiastRaman Bhaumik A Junior Software Developer with a flair for innovation, Raman Bhaumik excels in delivering scalable web solutions. With three years of experience and a solid foundation in Java, Python, JavaScript, and SQL, she has streamlined task tracking by 20% and improved application stability.
You are not excused! How to avoid security blind spots on the way to production
You are not excused! How to avoid security blind spots on the way to productionMichele Leroux Bustamante
Low power ldpc decoder implementation using layer decoding
- 1. LOW-POWER LDPC DECODER IMPLEMENTATION USING LAYER DECODING AJITH.C 212111419001 Guide BY M.E VLSI Design Mr.P Kabilamani,Lecturer,ECE
- 2. Abstract Method for creating LDPC codes which are specifically designed to be hardware friendly. Layer decoding is the one of the efficient approach to decode the LDPC code with good error rate performance. Proposed approach will efficiently decrease the power.
- 3. INTRODUCTION LDPC Code is a Linear Error Correcting Code. LDPC codes are finding increasing use ◦ 1. reliable and highly efficient information transfer over bandwidth ◦ 2. return channel–constrained links in the presence of data-corrupting noise. Error correcting code in the new DVB-S2
- 4. Cont… Representations for LDPC Codes Matrix and Graphical Representations
- 5. Existing Method Layered Decoding
- 6. Cont… Most Practical LDPC Codes are structured to support layered decoders in hardware. This concept is usually generalized by dividing the H-Matrix into Layers. Only one CN can access a given VN memory at a specific time. In a layered decoder,one CN processor can be designed to serially process the different rows of the H-Matrix.
- 7. Proposed Method Vectored Layer Decoding
- 8. Cont… Vector Decoder Architecture overcomes the limitation of the layered decoder by packing multiple messages in the same memory unit. Throughput of a vector decoder can be times that of a scalar decoder.
- 9. Phase I LDPC Encoding
- 10. Phase II LDPC Decoding using Layer Decoding. Vectored Layer Decoding.
- 11. LDPC Encoding Generator Matrix from Parity Check Matrix. Encoding Technique.
- 12. Generator Matrix from Parity Check Matrix Parity Check Matrix(H) H(qxn)=[Pqxk : Iq ]. Generator Matrix(G) G(kxn) =[Ik:Pkxq].
- 13. Encoding Technique Encoding by Matrix Multiplication Systematic codeword Generation codeword,X=axGT a=(a1,a2,……ak),k information bits to be encoded. GT=Generator Matrix Transpose
- 14. Software Used Simulation : Xilinx ISE 9.1i
- 15. Simulation For H Matrix To G Matrix Generation
- 16. Cont..
- 18. References R. Gallager, “Low-density parity-check codes,” IEEE Trans. Inf. Theory, vol. IT-8, no. 1, pp. 21– 28, Jan. 1962. Z. Li, L. Chen, L. Zeng, S. Lin, and W. Fong, “Efficient encoding of quasi-cyclic low- density parity-check codes,” IEEE Trans. Commun.,vol. 53, no. 11, p. 1973, Nov. 2005. E. Yeo, P. Pakzad, B. Nikolic, and V. Anantharam, “High throughput low-density parity- check decoder architectures,” in Proc. IEEE Global Telecommun. Conf., 2001, vol. 5, pp. 3019–3024.
- 19. THANK YOU