SlideShare a Scribd company logo
presentation on digital signal processing
 INTRODUCTION
 TERMS AND COMPONENTS
 WORKING OF DIGITAL SIGNAL PROCESSOR
 COMPARISIONWITH MICROPROCESSORS
 DIGITAL FILTERAND ITSTYPES
 APPLICATIONS
 DIGITAL: Operating by the use of discrete signals to
represent data in the form of numbers.
 SIGNAL: A variable parameter by which information is
conveyed through an electronic circuit.
 PROCESSING: To perform operations on data
according to the programmed instructions.
 Digital signal processing :IT can be defined as
analysis, interpretation, and manipulation of signals like
sound, images time-varying measurement values and
sensor data
 Converting a continuously changing
waveform (analog) into a series of discrete
levels (digital)
presentation on digital signal processing
 The analog waveform is sliced into equal
segments and the waveform amplitude is
measured in the middle of each segment
 The collection of measurements make up the
digital representation of the waveform
0
0.22
0.44
0.64
0.82
0.98
1.11
1.2
1.24
1.27
1.24
1.2
1.11
0.98
0.82
0.64
0.44
0.22
0
-0.22
-0.44
-0.64
-0.82
-0.98
-1.11
-1.2
-1.26
-1.28
-1.26
-1.2
-1.11
-0.98
-0.82
-0.64
-0.44
-0.22
0
-2
-1.5
-1
-0.5
0
0.5
1
1.5
2
1
3
5
7
9
11
13
15
17
19
21
23
25
27
29
31
33
35
37
 A waveform is sliced up and converted it into
digital form
 Draw a simple waveform on graph paper
 Scale appropriately
 “Gather” digital data points to represent the
waveform
presentation on digital signal processing
presentation on digital signal processing
 Compare the original with the recreating,
note similarities and differences
Raw
-150
-100
-50
0
50
100
150
0 10 20 30 40
Time
Amplitude
Ave before/after
-150
-100
-50
0
50
100
150
0 10 20 30 40
Time
Amplitude
presentation on digital signal processing
Three most commonly used digital modulation schemes for
transmitting
Digital data over bandpass channels are:
Amplitude shift keying (ASK)
Phase shift keying (PSK)
Frequency shift keying (FSK)
When digital data is transmitted over an all digital
network a scheme known
As pulse code modulation (PCM) is used.
 A microprocessor with its limited speed is
meant for low speed applications whereas
the DSP is meant for fast real time
applications.
 Generally microprocessors useVan-nuemann
architecture whereas most of the DSP
processors use a modified Harvard
architecture with two or three memory
buses.
Texas DSP Processors
16-bit Fixed point arithmetic processors
 TMS320C1X
 TMS320C2X
 TMS320C5X
 TMS320C8X
32-bit floating point arithmetic processors
 TMS320C3X
 TMS320C4X
Digital filter:numerical procedure or algorithm
that transforms a given sequence of numbers
into second set of sequence that has some more
desirable properties.
DIGITAL FILTER
INPUT SEQUENCE
Output sequence
Broadly speaking ,two types of digital filters
exists.
 FIR Filters(Finite impulse response filters)
 IIR Filters (Infinite Impulse response filters)
presentation on digital signal processing
presentation on digital signal processing
presentation on digital signal processing
FIR filter: uses only current and past input digital samples to
obtain a current output sample value. It does not utilize past
output samples. Simple FIR equation is mention below.
y(n)= h(0)x(n) + h(1)x(n-1) + h(2)x(n-2) + h(3)x(n-3) + h(4)x(n-4)
IIR filter: uses current input sample value, past input and output
samples to obtain current output sample value. Simple IIR
equation is mention below.
y(n)= b(0)x(n) + b(1)x(n-1) + b(2)x(n-2) + b(3)x(n-3) + a(1)y(n-1) +
a(2)y(n-2) + a(3)y(n-3)
An ideal filter is transmits signal under the
pass band without attenuation and
completely suppress the signal in stop band.
Characteristics –
 it have constant gain in pass band and zero
gain in the stop band.
 It has linear phase response.
 It must be causal .
Desired features depend on the application.
INPUT SIGNAL OUTPUT SIGNAL
Generated by sensing Having less noise
Device(microphone) or interference
Speech With reduced
redundancy for better
efficiency of
transmission
 An analog filter is constructed using active, passive
components like resistors, capacitors and op amps
but a digital filter constitutes adder, multiplier and delay
elements.
 Digital filters are software programmable, which makes
them easy to build and test.
 Digital filters require only the arithmetic operations of
addition, subtraction, and multiplication.
 Digital filters do not drift with temperature or humidity .
 Digital filters have a superior performance-to-cost ratio.
Digital signal processing has variety of
applications in diverse fields like
 Digital filtering
 Spectral analysis
 Speech processing
 Image processing
 Radar processing
 Robot control
 Telecommunication
 Consumer electronics
 Biomedical engineering
 Military applications
In graphic equalizers sound as well as frequency
levels can varied to produce special sound effects
and compensate for the lower sensitivity of the ear .
• enhancement of edges in images
improve recognition of object (by human or
computer)
edge – a sharp transition in the image brightness,
sharp
transitions in a signal (from Fourier theory) appear as
high-frequency components which can be amplified
presentation on digital signal processing

More Related Content

PPTX
DIGITAL SIGNAL PROCESSING
PPT
Electronics and communication engineering
PDF
Introduction to Digital Signal Processing
PDF
NAAC Presentation - Education Department 21.09.2022.pdf
PDF
Particle in 1 D box
PPTX
Hearing loss
PPT
Speech recognition
PPT
DIGITAL SIGNAL PROCESSING
Electronics and communication engineering
Introduction to Digital Signal Processing
NAAC Presentation - Education Department 21.09.2022.pdf
Particle in 1 D box
Hearing loss
Speech recognition

What's hot (20)

PPTX
Modulation
PPTX
Digital filter structures
PPT
PPT
Introduction to DSP.ppt
PDF
Basics of Digital Filters
PPT
Pulse code modulation
PPTX
discrete time signals and systems
PPTX
Butterworth filter
PPTX
Digital modulation techniques...
PDF
Optimum Receiver corrupted by AWGN Channel
PPTX
Double SideBand Suppressed Carrier (DSB-SC)
PPTX
Amplitude modulation & demodulation
PPTX
Wireless communication
PPTX
Equalization
PPTX
Digital Communication 1
PPTX
Sampling theorem
PDF
4.5 equalizers and its types
PPTX
Amplitude modulation
Modulation
Digital filter structures
Introduction to DSP.ppt
Basics of Digital Filters
Pulse code modulation
discrete time signals and systems
Butterworth filter
Digital modulation techniques...
Optimum Receiver corrupted by AWGN Channel
Double SideBand Suppressed Carrier (DSB-SC)
Amplitude modulation & demodulation
Wireless communication
Equalization
Digital Communication 1
Sampling theorem
4.5 equalizers and its types
Amplitude modulation
Ad

Viewers also liked (11)

PPTX
Digital speech processing lecture1
PPTX
Dsp ppt
PPTX
Image processing ppt
PPTX
Dsp application on mobile communication
PDF
DIG5569 Final Project
PDF
Dsp book
PPTX
APPLICATION OF DSP IN BIOMEDICAL ENGINEERING
PPTX
Digital Signal Processors - DSP's
PPT
DSP architecture
PPTX
Slideshare ppt
Digital speech processing lecture1
Dsp ppt
Image processing ppt
Dsp application on mobile communication
DIG5569 Final Project
Dsp book
APPLICATION OF DSP IN BIOMEDICAL ENGINEERING
Digital Signal Processors - DSP's
DSP architecture
Slideshare ppt
Ad

Similar to presentation on digital signal processing (20)

PPTX
Introduction to digital signal processing 2
PDF
Ee341 dsp1 1_sv_chapter1_hay truy cap vao trang www.mientayvn.com de tai them...
PDF
Software Design of Digital Receiver using FPGA
PPTX
digital signal processing
PDF
Performance Analysis and Simulation of Decimator for Multirate Applications
PPTX
DSP_ Scheme - Introduction : talks about
PPT
Architecture of Smart Sensors.ppt
PPTX
DATA ACQUISITION (DAQ) IN LABVIEW
PPTX
Lect1a_ basics of DSP.pptx
PPTX
Advanced_Digital_Signal_Processing_Lectu(2).pptx
PDF
Introduction to dsp by bibhu prasad ganthia
PPT
Romain Rogister DSP ppt V2003
PPTX
Week 17 digital control sytem
PPTX
ECE420_Chapter+1.pptx
PPTX
Introduction to digital signal processing
PPTX
Analog to digital converter (ACD)
PPT
Analog to digital converters, adc
PDF
Performance Analysis of Fractional Sample Rate Converter Using Audio Applicat...
PDF
T01061142150
PPT
Chapter3_Lect2 Pulse Code Modulation.ppt
Introduction to digital signal processing 2
Ee341 dsp1 1_sv_chapter1_hay truy cap vao trang www.mientayvn.com de tai them...
Software Design of Digital Receiver using FPGA
digital signal processing
Performance Analysis and Simulation of Decimator for Multirate Applications
DSP_ Scheme - Introduction : talks about
Architecture of Smart Sensors.ppt
DATA ACQUISITION (DAQ) IN LABVIEW
Lect1a_ basics of DSP.pptx
Advanced_Digital_Signal_Processing_Lectu(2).pptx
Introduction to dsp by bibhu prasad ganthia
Romain Rogister DSP ppt V2003
Week 17 digital control sytem
ECE420_Chapter+1.pptx
Introduction to digital signal processing
Analog to digital converter (ACD)
Analog to digital converters, adc
Performance Analysis of Fractional Sample Rate Converter Using Audio Applicat...
T01061142150
Chapter3_Lect2 Pulse Code Modulation.ppt

Recently uploaded (20)

PPT
Project quality management in manufacturing
PDF
Well-logging-methods_new................
PPTX
Artificial Intelligence
PDF
Automation-in-Manufacturing-Chapter-Introduction.pdf
PDF
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
PDF
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
PPTX
bas. eng. economics group 4 presentation 1.pptx
PPTX
CYBER-CRIMES AND SECURITY A guide to understanding
DOCX
573137875-Attendance-Management-System-original
PDF
Operating System & Kernel Study Guide-1 - converted.pdf
PDF
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
PPTX
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
PPTX
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
PPTX
UNIT-1 - COAL BASED THERMAL POWER PLANTS
PPTX
CH1 Production IntroductoryConcepts.pptx
PDF
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
PPTX
Sustainable Sites - Green Building Construction
PDF
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
PPTX
Geodesy 1.pptx...............................................
PPTX
Construction Project Organization Group 2.pptx
Project quality management in manufacturing
Well-logging-methods_new................
Artificial Intelligence
Automation-in-Manufacturing-Chapter-Introduction.pdf
Enhancing Cyber Defense Against Zero-Day Attacks using Ensemble Neural Networks
Evaluating the Democratization of the Turkish Armed Forces from a Normative P...
bas. eng. economics group 4 presentation 1.pptx
CYBER-CRIMES AND SECURITY A guide to understanding
573137875-Attendance-Management-System-original
Operating System & Kernel Study Guide-1 - converted.pdf
keyrequirementskkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkkk
Engineering Ethics, Safety and Environment [Autosaved] (1).pptx
M Tech Sem 1 Civil Engineering Environmental Sciences.pptx
UNIT-1 - COAL BASED THERMAL POWER PLANTS
CH1 Production IntroductoryConcepts.pptx
BMEC211 - INTRODUCTION TO MECHATRONICS-1.pdf
Sustainable Sites - Green Building Construction
Mitigating Risks through Effective Management for Enhancing Organizational Pe...
Geodesy 1.pptx...............................................
Construction Project Organization Group 2.pptx

presentation on digital signal processing

  • 2.  INTRODUCTION  TERMS AND COMPONENTS  WORKING OF DIGITAL SIGNAL PROCESSOR  COMPARISIONWITH MICROPROCESSORS  DIGITAL FILTERAND ITSTYPES  APPLICATIONS
  • 3.  DIGITAL: Operating by the use of discrete signals to represent data in the form of numbers.  SIGNAL: A variable parameter by which information is conveyed through an electronic circuit.  PROCESSING: To perform operations on data according to the programmed instructions.  Digital signal processing :IT can be defined as analysis, interpretation, and manipulation of signals like sound, images time-varying measurement values and sensor data
  • 4.  Converting a continuously changing waveform (analog) into a series of discrete levels (digital)
  • 6.  The analog waveform is sliced into equal segments and the waveform amplitude is measured in the middle of each segment  The collection of measurements make up the digital representation of the waveform
  • 8.  A waveform is sliced up and converted it into digital form  Draw a simple waveform on graph paper  Scale appropriately  “Gather” digital data points to represent the waveform
  • 11.  Compare the original with the recreating, note similarities and differences
  • 12. Raw -150 -100 -50 0 50 100 150 0 10 20 30 40 Time Amplitude Ave before/after -150 -100 -50 0 50 100 150 0 10 20 30 40 Time Amplitude
  • 14. Three most commonly used digital modulation schemes for transmitting Digital data over bandpass channels are: Amplitude shift keying (ASK) Phase shift keying (PSK) Frequency shift keying (FSK) When digital data is transmitted over an all digital network a scheme known As pulse code modulation (PCM) is used.
  • 15.  A microprocessor with its limited speed is meant for low speed applications whereas the DSP is meant for fast real time applications.  Generally microprocessors useVan-nuemann architecture whereas most of the DSP processors use a modified Harvard architecture with two or three memory buses.
  • 16. Texas DSP Processors 16-bit Fixed point arithmetic processors  TMS320C1X  TMS320C2X  TMS320C5X  TMS320C8X 32-bit floating point arithmetic processors  TMS320C3X  TMS320C4X
  • 17. Digital filter:numerical procedure or algorithm that transforms a given sequence of numbers into second set of sequence that has some more desirable properties. DIGITAL FILTER INPUT SEQUENCE Output sequence
  • 18. Broadly speaking ,two types of digital filters exists.  FIR Filters(Finite impulse response filters)  IIR Filters (Infinite Impulse response filters)
  • 22. FIR filter: uses only current and past input digital samples to obtain a current output sample value. It does not utilize past output samples. Simple FIR equation is mention below. y(n)= h(0)x(n) + h(1)x(n-1) + h(2)x(n-2) + h(3)x(n-3) + h(4)x(n-4) IIR filter: uses current input sample value, past input and output samples to obtain current output sample value. Simple IIR equation is mention below. y(n)= b(0)x(n) + b(1)x(n-1) + b(2)x(n-2) + b(3)x(n-3) + a(1)y(n-1) + a(2)y(n-2) + a(3)y(n-3)
  • 23. An ideal filter is transmits signal under the pass band without attenuation and completely suppress the signal in stop band. Characteristics –  it have constant gain in pass band and zero gain in the stop band.  It has linear phase response.  It must be causal .
  • 24. Desired features depend on the application. INPUT SIGNAL OUTPUT SIGNAL Generated by sensing Having less noise Device(microphone) or interference Speech With reduced redundancy for better efficiency of transmission
  • 25.  An analog filter is constructed using active, passive components like resistors, capacitors and op amps but a digital filter constitutes adder, multiplier and delay elements.  Digital filters are software programmable, which makes them easy to build and test.  Digital filters require only the arithmetic operations of addition, subtraction, and multiplication.  Digital filters do not drift with temperature or humidity .  Digital filters have a superior performance-to-cost ratio.
  • 26. Digital signal processing has variety of applications in diverse fields like  Digital filtering  Spectral analysis  Speech processing  Image processing  Radar processing
  • 27.  Robot control  Telecommunication  Consumer electronics  Biomedical engineering  Military applications
  • 28. In graphic equalizers sound as well as frequency levels can varied to produce special sound effects and compensate for the lower sensitivity of the ear . • enhancement of edges in images improve recognition of object (by human or computer) edge – a sharp transition in the image brightness, sharp transitions in a signal (from Fourier theory) appear as high-frequency components which can be amplified