SlideShare una empresa de Scribd logo
1 de 35
Engr. Hinesh Kumar
Lecturer, I.B.T, LUMHS
• Signal
• Signal Classification
• Signal Processing
• Concept of Systems
• DSP
• Elements of DSP
• Advantages of DSP
• Limitations
• Applications
• A word ‘Signal’ comes from latin ‘Signum’ which
means ‘Sign’.
• “ A signal is a quantity or effect such as current or
voltage that can be varied in such a way as to
convey information.” OR
• “ A signal is defined as a mathematical function that
conveys information about the state or behavior of a
physical system.”
• Examples: electrical current, voltage, force,
speed, speech, music, picture and video signals
etc
Analog DigitalVS
Time Continuous Discrete
Amplitude Continuous Discrete
• An analog or analogue signal is any continuous
signal for which the time varying feature.
• An analog signal is a signal that exists at every
instant of time
• A continuous signal is often referred to as
continuous time or analog.
• The independent variable is a continuous variable
• Continuous signal can assume any value over a
continuous range of numbers
• It is a special form of discrete time signal
which is discrete in time and amplitude.
• A digital signal is acquired by representing the
sampled analog value into a finite set of values
(quantization).
• These signals are called digital because the
samples are represented by digits.
Computer, Semiconduct and Information Science
1960’s-1970’s
Representation, transformation and manipulation
of signals and the information they contain.
Signal operation include:
(1) Transform, filter, inspection, spectrum analysis;
(2) Modulation and coding;
(3) Analog Signal Processing;
(4) Digital Signal Processing.
System
Device or technology of signal processing
Analog System
System with analog input and output.
 Digital System
System with digital input and output.
Acoustic
domain
Electric
domain
Acoustic
domain
Continuous-time system: the input and output signals
are continuous time
Acoustic
domain
Acoustic
domain
Electric
domain
Digital domain
Discrete-time system has discrete-time input and output
signals
Acoustic
domain
Electrical
domain
Electrical
domain
Acoustic
domain
Digital
domain
a bit loudAnalog Computer
Digital Computer
ADC
DSP
DAC OUTPUT
1010 1001
a bit loud
• Converting a continuously changing waveform (analog)
into a series of discrete levels (digital).
• 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
• A basic DSP system is composed of:
• An ADC providing digital samples of an analog input
• A Digital Processing system
• A DAC converting processed samples to analog
output
• Real-time signal processing: All processing operation
must be complete between two consecutive samples
Sensor
ADC
Analog Signal
Conditioning
Digital Signal
Conditioning
DSP DAC
Analog Signal Processing
Digital Signal Processing
1. An analog input
2. An analog filter,
3. An analog-to-digital conversion (ADC) unit,
4. A digital signal (DS) processor,
5. A digital-to-analog conversion (DAC) unit,
6. and a reconstruction (anti-image) filter.
• The analog input signal, which is continuous in
• time and amplitude.
• It is the signal generated from some transducer
or some communication system.
• Examples of such analog signals include current,
voltage, temperature, pressure.
• It may be biomedical signal like ECG or EEG.
• Generally it is analog in nature. It is denoted by
x(t).
• This is basically a low pass filter.
• It is used for the following purposes.
It removes the high frequency noise contained
in input signal.
As the name indicates, it avoids aliasing effect.
That means it is used to band limit the signal.
• The band-limited signal at the output of the
analog filter is then sampled and converted
into the digital signal, which is discrete both
in time and in amplitude.
• This is required because digital signal
processor accepts the signal which is digital
in nature.
• It processes input signal digitally.
• In a simple language processing of input signal
means modifying the signal as per requirement.
• It consists of lowpass, highpass, and bandpass
digital filtering, or other algorithms for different
applications.
• DS processor is a special type of digital computer
consists of , a microprocessor, or an advanced
microcontroller; and can be implemented using
software in general.
• The DAC unit, converts the output of the digital
signal processor into an analog output signal.
• The signal is continuous in time and discrete in
amplitude.
• Output signal of DAC is an analog, that means it
is a continuous signal.
• It may contain high frequency components which
are unwanted.
• To remove these components, reconstruction
filter is used.
1. Versatility
Digital systems can be reprogrammed for
other applications ( where programmable DSP
chips are used). Moreover, digital systems can be
ported to different hardware
2. Repeatability
Digital systems can be easily duplicated.
These systems do not depend upon component
tolerances and temperature.
3. Simplicity:
It is easy to built any digital system as
compared to an analog one.
4. Accuracy:
To design an analog system, analog
components like resistors, capacitors and inductors
are used.
The tolerance of these components reduce
accuracy of the system.
While in case of DSP; much better accuracy is
obtained.
5. Remote Processing
Analog signals are difficult to store because
of problems like noise and distortion.
While digital signal can be easily stored on storage
media like magnetic tapes, disks etc.
Thus as compared to analog signals digital signals
can be easily transposed.
So remote processing of digital signal can be done
easily.
6. Implementation of algorithms:
The mathematical processing algorithms can
be easily implemented in case of digital signal
processing.
But such algorithms are difficult to implement in
case of analog signals.
7. Easy Up gradations:
Because of the use of software, digital signal
processing systems can be easily upgraded as
compared to analog systems.
8. Compatibility:
In case of digital systems, generally all
applications needs standard hardware.
Thus operation of DSP system is mainly
dependent on software.
Hence universal compatibility is possible as
compared to analog systems.
9. Cheaper:
In many applications, the digital systems are
comparatively cheaper than analog systems.
1. System Complexity:
DSP system needs use of converters like
ADC and DAC.
This increases the system complexity compared to
analog systems. Similarly in many applications, the
time required for this conversion is more.
• Bandwidth Limitation:
In case of DSP system, if input signal is
having wide bandwidth then it demands for high
speed ADC.
This is because to avoid aliasing effect, the
sampling rate should be at least twice the
bandwidth.
Thus such signals require fast digital signal
processors. But always there is practical limitation
in the speed of processors and ADC.
3. Power Consumption:
A typical digital signal processing chip
contains more than 4 lakh transistors.
Thus power dissipation is more in DSP systems as
compared to analog systems
4. For small applications digital signal processing
systems are expensive as compared to analog
systems
IMAGE PROCESSING
Pattern recognition
Robotic vision
Image enhancement
Satellite weather map
animation
INSTRUMENTATION & CONTROL
Spectrum analysis
Position and rate control
Noise reduction
Data compressionSPEECH & AUDIO
Speech recognition
Speech synthesis
Text to speech
digital audio
MILITARY
Secure communication
Radar processing
Sonar processing
Missile guidance
TELECOMMUNICATION
Echo cancellation
Adaptive equalization
Video conferencing
data communicationBiomedical
Patient monitoring
Scanners
ECG (Electrocardiograph)
X-ray storage/enhancement
Consumer applications
digital, cellar mobile phones
universal mobile telecommunication system
digital television
digital camera
internet music, phones and video
digital answer machines, fax and modems
voice mail system
interactive entertainment systems
Introduction to dsp

Más contenido relacionado

La actualidad más candente

Introduction to DSP
Introduction to DSPIntroduction to DSP
Introduction to DSPshinychristo
 
Adaptive delta modulation
Adaptive delta modulationAdaptive delta modulation
Adaptive delta modulationmpsrekha83
 
Pulse Modulation ppt
Pulse Modulation pptPulse Modulation ppt
Pulse Modulation pptsanjeev2419
 
DSP applications in medical field.
DSP applications in medical field.DSP applications in medical field.
DSP applications in medical field.Ethar Sayed
 
Digital modulation techniques...
Digital modulation techniques...Digital modulation techniques...
Digital modulation techniques...Nidhi Baranwal
 
Windowing techniques of fir filter design
Windowing techniques of fir filter designWindowing techniques of fir filter design
Windowing techniques of fir filter designRohan Nagpal
 
Digital signal processing
Digital signal processingDigital signal processing
Digital signal processingsivakumars90
 
presentation on digital signal processing
presentation on digital signal processingpresentation on digital signal processing
presentation on digital signal processingsandhya jois
 
Signal classification of signal
Signal classification of signalSignal classification of signal
Signal classification of signal001Abhishek1
 
digital signal processing lecture 1.pptx
digital signal processing lecture 1.pptxdigital signal processing lecture 1.pptx
digital signal processing lecture 1.pptxImranHasan760046
 
Digital Signal Processing
Digital Signal ProcessingDigital Signal Processing
Digital Signal ProcessingSandip Ladi
 

La actualidad más candente (20)

Introduction to DSP
Introduction to DSPIntroduction to DSP
Introduction to DSP
 
Adaptive delta modulation
Adaptive delta modulationAdaptive delta modulation
Adaptive delta modulation
 
Pulse Modulation ppt
Pulse Modulation pptPulse Modulation ppt
Pulse Modulation ppt
 
DSP applications in medical field.
DSP applications in medical field.DSP applications in medical field.
DSP applications in medical field.
 
Digital modulation techniques...
Digital modulation techniques...Digital modulation techniques...
Digital modulation techniques...
 
Sampling Theorem
Sampling TheoremSampling Theorem
Sampling Theorem
 
Windowing techniques of fir filter design
Windowing techniques of fir filter designWindowing techniques of fir filter design
Windowing techniques of fir filter design
 
Sampling
SamplingSampling
Sampling
 
Sampling theorem
Sampling theoremSampling theorem
Sampling theorem
 
Digital signal processing
Digital signal processingDigital signal processing
Digital signal processing
 
Representation of signals
Representation of signalsRepresentation of signals
Representation of signals
 
Pulse modulation
Pulse modulationPulse modulation
Pulse modulation
 
Multirate DSP
Multirate DSPMultirate DSP
Multirate DSP
 
TMS320C6X Architecture
TMS320C6X ArchitectureTMS320C6X Architecture
TMS320C6X Architecture
 
presentation on digital signal processing
presentation on digital signal processingpresentation on digital signal processing
presentation on digital signal processing
 
Signal classification of signal
Signal classification of signalSignal classification of signal
Signal classification of signal
 
digital signal processing lecture 1.pptx
digital signal processing lecture 1.pptxdigital signal processing lecture 1.pptx
digital signal processing lecture 1.pptx
 
DFT and IDFT Matlab Code
DFT and IDFT Matlab CodeDFT and IDFT Matlab Code
DFT and IDFT Matlab Code
 
Digital Signal Processing
Digital Signal ProcessingDigital Signal Processing
Digital Signal Processing
 
Digital signal processing part1
Digital signal processing part1Digital signal processing part1
Digital signal processing part1
 

Destacado

FFT and DFT algorithm
FFT and DFT algorithmFFT and DFT algorithm
FFT and DFT algorithmUmer Javed
 
The discrete fourier transform (dsp) 4
The discrete fourier transform  (dsp) 4The discrete fourier transform  (dsp) 4
The discrete fourier transform (dsp) 4HIMANSHU DIWAKAR
 
DSP_FOEHU - Lec 06 - The z-Transform
DSP_FOEHU - Lec 06 - The z-TransformDSP_FOEHU - Lec 06 - The z-Transform
DSP_FOEHU - Lec 06 - The z-TransformAmr E. Mohamed
 
Fir filter design (windowing technique)
Fir filter design (windowing technique)Fir filter design (windowing technique)
Fir filter design (windowing technique)Bin Biny Bino
 
Lti and z transform
Lti and z transformLti and z transform
Lti and z transformpranvendra29
 
Dsp U Lec10 DFT And FFT
Dsp U   Lec10  DFT And  FFTDsp U   Lec10  DFT And  FFT
Dsp U Lec10 DFT And FFTtaha25
 
Dft and its applications
Dft and its applicationsDft and its applications
Dft and its applicationsAgam Goel
 
Fir and iir filter_design
Fir and iir filter_designFir and iir filter_design
Fir and iir filter_designshrinivasgnaik
 
Medical applications of dsp
Medical applications of dspMedical applications of dsp
Medical applications of dspkanusinghal3
 
DSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-TransformDSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-TransformAmr E. Mohamed
 
The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)Oka Danil
 
Discrete Fourier Transform
Discrete Fourier TransformDiscrete Fourier Transform
Discrete Fourier TransformAbhishek Choksi
 
Design of IIR filters
Design of IIR filtersDesign of IIR filters
Design of IIR filtersop205
 
Fast Fourier Transform
Fast Fourier TransformFast Fourier Transform
Fast Fourier Transformop205
 

Destacado (20)

FFT and DFT algorithm
FFT and DFT algorithmFFT and DFT algorithm
FFT and DFT algorithm
 
Dsp lecture vol 2 dft & fft
Dsp lecture vol 2 dft & fftDsp lecture vol 2 dft & fft
Dsp lecture vol 2 dft & fft
 
Z transform ROC eng.Math
Z transform ROC eng.MathZ transform ROC eng.Math
Z transform ROC eng.Math
 
The discrete fourier transform (dsp) 4
The discrete fourier transform  (dsp) 4The discrete fourier transform  (dsp) 4
The discrete fourier transform (dsp) 4
 
DSP_FOEHU - Lec 06 - The z-Transform
DSP_FOEHU - Lec 06 - The z-TransformDSP_FOEHU - Lec 06 - The z-Transform
DSP_FOEHU - Lec 06 - The z-Transform
 
Fir filter_utkarsh_kulshrestha
Fir filter_utkarsh_kulshresthaFir filter_utkarsh_kulshrestha
Fir filter_utkarsh_kulshrestha
 
Introduction to DFT Part 1
Introduction to DFT Part 1 Introduction to DFT Part 1
Introduction to DFT Part 1
 
Fir filter design (windowing technique)
Fir filter design (windowing technique)Fir filter design (windowing technique)
Fir filter design (windowing technique)
 
Lti and z transform
Lti and z transformLti and z transform
Lti and z transform
 
Dsp U Lec10 DFT And FFT
Dsp U   Lec10  DFT And  FFTDsp U   Lec10  DFT And  FFT
Dsp U Lec10 DFT And FFT
 
Dft and its applications
Dft and its applicationsDft and its applications
Dft and its applications
 
Fir and iir filter_design
Fir and iir filter_designFir and iir filter_design
Fir and iir filter_design
 
Medical applications of dsp
Medical applications of dspMedical applications of dsp
Medical applications of dsp
 
DSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-TransformDSP_FOEHU - MATLAB 03 - The z-Transform
DSP_FOEHU - MATLAB 03 - The z-Transform
 
The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)The Fast Fourier Transform (FFT)
The Fast Fourier Transform (FFT)
 
Discrete Fourier Transform
Discrete Fourier TransformDiscrete Fourier Transform
Discrete Fourier Transform
 
Pattern Recognition
Pattern RecognitionPattern Recognition
Pattern Recognition
 
Design of IIR filters
Design of IIR filtersDesign of IIR filters
Design of IIR filters
 
Fast Fourier Transform
Fast Fourier TransformFast Fourier Transform
Fast Fourier Transform
 
Ecg Signal Processing
Ecg Signal ProcessingEcg Signal Processing
Ecg Signal Processing
 

Similar a Introduction to dsp

Analog to Digital Converter .pptx
Analog to Digital Converter .pptxAnalog to Digital Converter .pptx
Analog to Digital Converter .pptxhepzijustin
 
adaptive_ecg_cdr_edittedforpublic.pptx
adaptive_ecg_cdr_edittedforpublic.pptxadaptive_ecg_cdr_edittedforpublic.pptx
adaptive_ecg_cdr_edittedforpublic.pptxssuser6f1a8e1
 
Digital Communication 1
Digital Communication 1Digital Communication 1
Digital Communication 1admercano101
 
DATA ACQUISITION (DAQ) IN LABVIEW
DATA  ACQUISITION (DAQ) IN LABVIEWDATA  ACQUISITION (DAQ) IN LABVIEW
DATA ACQUISITION (DAQ) IN LABVIEWAbhishek Sur
 
86919253 data-acquisition-system-ppt
86919253 data-acquisition-system-ppt86919253 data-acquisition-system-ppt
86919253 data-acquisition-system-pptGovindaChandraBehera1
 
Analog mixed vlsi notes
Analog mixed vlsi notesAnalog mixed vlsi notes
Analog mixed vlsi notesathiulla
 
Introduction of digital communication
Introduction of digital communicationIntroduction of digital communication
Introduction of digital communicationasodariyabhavesh
 
Introduction to digital signal processing 2
Introduction to digital signal processing 2Introduction to digital signal processing 2
Introduction to digital signal processing 2Hossam Hassan
 
Analog to digital converter (ACD)
Analog to digital converter (ACD)Analog to digital converter (ACD)
Analog to digital converter (ACD)Luckysaw
 
Wireless sensor networks
Wireless sensor networksWireless sensor networks
Wireless sensor networksManoj BN
 
Signal Conditioning.pptx
Signal Conditioning.pptxSignal Conditioning.pptx
Signal Conditioning.pptxSuvenduMondal12
 
Data acquisition
Data acquisitionData acquisition
Data acquisitionSagar Joshi
 
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.pptLectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.pptShamsAli42
 
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.pptLectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.pptArnabChakraborty499766
 
DIGITALTRANSMISSION TECHNOLOGY
DIGITALTRANSMISSION TECHNOLOGYDIGITALTRANSMISSION TECHNOLOGY
DIGITALTRANSMISSION TECHNOLOGYV S ARJUN
 

Similar a Introduction to dsp (20)

Analog to Digital Converter .pptx
Analog to Digital Converter .pptxAnalog to Digital Converter .pptx
Analog to Digital Converter .pptx
 
adaptive_ecg_cdr_edittedforpublic.pptx
adaptive_ecg_cdr_edittedforpublic.pptxadaptive_ecg_cdr_edittedforpublic.pptx
adaptive_ecg_cdr_edittedforpublic.pptx
 
lecture 1+2.pdf
lecture 1+2.pdflecture 1+2.pdf
lecture 1+2.pdf
 
Digital Communication 1
Digital Communication 1Digital Communication 1
Digital Communication 1
 
Computer hardware
Computer hardware Computer hardware
Computer hardware
 
Adc &dac ppt
Adc &dac pptAdc &dac ppt
Adc &dac ppt
 
DATA ACQUISITION (DAQ) IN LABVIEW
DATA  ACQUISITION (DAQ) IN LABVIEWDATA  ACQUISITION (DAQ) IN LABVIEW
DATA ACQUISITION (DAQ) IN LABVIEW
 
86919253 data-acquisition-system-ppt
86919253 data-acquisition-system-ppt86919253 data-acquisition-system-ppt
86919253 data-acquisition-system-ppt
 
Analog mixed vlsi notes
Analog mixed vlsi notesAnalog mixed vlsi notes
Analog mixed vlsi notes
 
Introduction of digital communication
Introduction of digital communicationIntroduction of digital communication
Introduction of digital communication
 
Introduction to digital signal processing 2
Introduction to digital signal processing 2Introduction to digital signal processing 2
Introduction to digital signal processing 2
 
Analog to digital converter (ACD)
Analog to digital converter (ACD)Analog to digital converter (ACD)
Analog to digital converter (ACD)
 
ADC & DAC
ADC & DACADC & DAC
ADC & DAC
 
Dsp class 1
Dsp class 1Dsp class 1
Dsp class 1
 
Wireless sensor networks
Wireless sensor networksWireless sensor networks
Wireless sensor networks
 
Signal Conditioning.pptx
Signal Conditioning.pptxSignal Conditioning.pptx
Signal Conditioning.pptx
 
Data acquisition
Data acquisitionData acquisition
Data acquisition
 
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.pptLectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
 
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.pptLectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
Lectures 1-2 Time-Domain Characterization of LTI Discrete-Time Systems.ppt
 
DIGITALTRANSMISSION TECHNOLOGY
DIGITALTRANSMISSION TECHNOLOGYDIGITALTRANSMISSION TECHNOLOGY
DIGITALTRANSMISSION TECHNOLOGY
 

Último

Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxAsutosh Ranjan
 
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxthe ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxhumanexperienceaaa
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Dr.Costas Sachpazis
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSKurinjimalarL3
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingrknatarajan
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Christo Ananth
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130Suhani Kapoor
 
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...RajaP95
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINESIVASHANKAR N
 
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).pptssuser5c9d4b1
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130Suhani Kapoor
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...ranjana rawat
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝soniya singh
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxupamatechverse
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls in Nagpur High Profile
 

Último (20)

Coefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptxCoefficient of Thermal Expansion and their Importance.pptx
Coefficient of Thermal Expansion and their Importance.pptx
 
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptxthe ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
the ladakh protest in leh ladakh 2024 sonam wangchuk.pptx
 
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
Structural Analysis and Design of Foundations: A Comprehensive Handbook for S...
 
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service NashikCollege Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
College Call Girls Nashik Nehal 7001305949 Independent Escort Service Nashik
 
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICSAPPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
APPLICATIONS-AC/DC DRIVES-OPERATING CHARACTERISTICS
 
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and workingUNIT-V FMM.HYDRAULIC TURBINE - Construction and working
UNIT-V FMM.HYDRAULIC TURBINE - Construction and working
 
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINEDJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
DJARUM4D - SLOT GACOR ONLINE | SLOT DEMO ONLINE
 
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
Call for Papers - African Journal of Biological Sciences, E-ISSN: 2663-2187, ...
 
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
9953056974 Call Girls In South Ex, Escorts (Delhi) NCR.pdf
 
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
VIP Call Girls Service Kondapur Hyderabad Call +91-8250192130
 
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
★ CALL US 9953330565 ( HOT Young Call Girls In Badarpur delhi NCR
 
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
IMPLICATIONS OF THE ABOVE HOLISTIC UNDERSTANDING OF HARMONY ON PROFESSIONAL E...
 
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINEMANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
MANUFACTURING PROCESS-II UNIT-2 LATHE MACHINE
 
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
247267395-1-Symmetric-and-distributed-shared-memory-architectures-ppt (1).ppt
 
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
VIP Call Girls Service Hitech City Hyderabad Call +91-8250192130
 
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
(ANJALI) Dange Chowk Call Girls Just Call 7001035870 [ Cash on Delivery ] Pun...
 
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
Model Call Girl in Narela Delhi reach out to us at 🔝8264348440🔝
 
Introduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptxIntroduction to Multiple Access Protocol.pptx
Introduction to Multiple Access Protocol.pptx
 
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
(RIA) Call Girls Bhosari ( 7001035870 ) HI-Fi Pune Escorts Service
 
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service NashikCall Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
Call Girls Service Nashik Vaishnavi 7001305949 Independent Escort Service Nashik
 

Introduction to dsp

  • 2. • Signal • Signal Classification • Signal Processing • Concept of Systems • DSP • Elements of DSP • Advantages of DSP • Limitations • Applications
  • 3. • A word ‘Signal’ comes from latin ‘Signum’ which means ‘Sign’. • “ A signal is a quantity or effect such as current or voltage that can be varied in such a way as to convey information.” OR • “ A signal is defined as a mathematical function that conveys information about the state or behavior of a physical system.” • Examples: electrical current, voltage, force, speed, speech, music, picture and video signals etc
  • 4. Analog DigitalVS Time Continuous Discrete Amplitude Continuous Discrete
  • 5. • An analog or analogue signal is any continuous signal for which the time varying feature. • An analog signal is a signal that exists at every instant of time • A continuous signal is often referred to as continuous time or analog. • The independent variable is a continuous variable • Continuous signal can assume any value over a continuous range of numbers
  • 6. • It is a special form of discrete time signal which is discrete in time and amplitude. • A digital signal is acquired by representing the sampled analog value into a finite set of values (quantization). • These signals are called digital because the samples are represented by digits.
  • 7. Computer, Semiconduct and Information Science 1960’s-1970’s Representation, transformation and manipulation of signals and the information they contain. Signal operation include: (1) Transform, filter, inspection, spectrum analysis; (2) Modulation and coding; (3) Analog Signal Processing; (4) Digital Signal Processing.
  • 8. System Device or technology of signal processing Analog System System with analog input and output.  Digital System System with digital input and output.
  • 10. Continuous-time system: the input and output signals are continuous time
  • 12. Discrete-time system has discrete-time input and output signals
  • 14. a bit loudAnalog Computer Digital Computer ADC DSP DAC OUTPUT 1010 1001 a bit loud
  • 15. • Converting a continuously changing waveform (analog) into a series of discrete levels (digital). • 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
  • 16. • A basic DSP system is composed of: • An ADC providing digital samples of an analog input • A Digital Processing system • A DAC converting processed samples to analog output • Real-time signal processing: All processing operation must be complete between two consecutive samples
  • 17. Sensor ADC Analog Signal Conditioning Digital Signal Conditioning DSP DAC Analog Signal Processing Digital Signal Processing
  • 18.
  • 19. 1. An analog input 2. An analog filter, 3. An analog-to-digital conversion (ADC) unit, 4. A digital signal (DS) processor, 5. A digital-to-analog conversion (DAC) unit, 6. and a reconstruction (anti-image) filter.
  • 20. • The analog input signal, which is continuous in • time and amplitude. • It is the signal generated from some transducer or some communication system. • Examples of such analog signals include current, voltage, temperature, pressure. • It may be biomedical signal like ECG or EEG. • Generally it is analog in nature. It is denoted by x(t).
  • 21. • This is basically a low pass filter. • It is used for the following purposes. It removes the high frequency noise contained in input signal. As the name indicates, it avoids aliasing effect. That means it is used to band limit the signal.
  • 22. • The band-limited signal at the output of the analog filter is then sampled and converted into the digital signal, which is discrete both in time and in amplitude. • This is required because digital signal processor accepts the signal which is digital in nature.
  • 23. • It processes input signal digitally. • In a simple language processing of input signal means modifying the signal as per requirement. • It consists of lowpass, highpass, and bandpass digital filtering, or other algorithms for different applications. • DS processor is a special type of digital computer consists of , a microprocessor, or an advanced microcontroller; and can be implemented using software in general.
  • 24. • The DAC unit, converts the output of the digital signal processor into an analog output signal. • The signal is continuous in time and discrete in amplitude.
  • 25. • Output signal of DAC is an analog, that means it is a continuous signal. • It may contain high frequency components which are unwanted. • To remove these components, reconstruction filter is used.
  • 26. 1. Versatility Digital systems can be reprogrammed for other applications ( where programmable DSP chips are used). Moreover, digital systems can be ported to different hardware 2. Repeatability Digital systems can be easily duplicated. These systems do not depend upon component tolerances and temperature.
  • 27. 3. Simplicity: It is easy to built any digital system as compared to an analog one. 4. Accuracy: To design an analog system, analog components like resistors, capacitors and inductors are used. The tolerance of these components reduce accuracy of the system. While in case of DSP; much better accuracy is obtained.
  • 28. 5. Remote Processing Analog signals are difficult to store because of problems like noise and distortion. While digital signal can be easily stored on storage media like magnetic tapes, disks etc. Thus as compared to analog signals digital signals can be easily transposed. So remote processing of digital signal can be done easily.
  • 29. 6. Implementation of algorithms: The mathematical processing algorithms can be easily implemented in case of digital signal processing. But such algorithms are difficult to implement in case of analog signals. 7. Easy Up gradations: Because of the use of software, digital signal processing systems can be easily upgraded as compared to analog systems.
  • 30. 8. Compatibility: In case of digital systems, generally all applications needs standard hardware. Thus operation of DSP system is mainly dependent on software. Hence universal compatibility is possible as compared to analog systems. 9. Cheaper: In many applications, the digital systems are comparatively cheaper than analog systems.
  • 31. 1. System Complexity: DSP system needs use of converters like ADC and DAC. This increases the system complexity compared to analog systems. Similarly in many applications, the time required for this conversion is more.
  • 32. • Bandwidth Limitation: In case of DSP system, if input signal is having wide bandwidth then it demands for high speed ADC. This is because to avoid aliasing effect, the sampling rate should be at least twice the bandwidth. Thus such signals require fast digital signal processors. But always there is practical limitation in the speed of processors and ADC.
  • 33. 3. Power Consumption: A typical digital signal processing chip contains more than 4 lakh transistors. Thus power dissipation is more in DSP systems as compared to analog systems 4. For small applications digital signal processing systems are expensive as compared to analog systems
  • 34. IMAGE PROCESSING Pattern recognition Robotic vision Image enhancement Satellite weather map animation INSTRUMENTATION & CONTROL Spectrum analysis Position and rate control Noise reduction Data compressionSPEECH & AUDIO Speech recognition Speech synthesis Text to speech digital audio MILITARY Secure communication Radar processing Sonar processing Missile guidance TELECOMMUNICATION Echo cancellation Adaptive equalization Video conferencing data communicationBiomedical Patient monitoring Scanners ECG (Electrocardiograph) X-ray storage/enhancement Consumer applications digital, cellar mobile phones universal mobile telecommunication system digital television digital camera internet music, phones and video digital answer machines, fax and modems voice mail system interactive entertainment systems