Digital Signal Processing

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Dr Amol Prakash Bhagat

20:34:00

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1. Discrete Time Signals and Systems

1. Introduction to Digital Signal Processing, Digital Signal, Analog Signal.mp4

24:34

2. Signal Examples. Definition Signal, Signal Source, System, Signal Processing.mp4

17:30

3. Basic Elements of Digital Signal Processing System.mp4

22:51

4. Analog to Digital Conversion, Digital to Analog Conversion, Sampling.mp4

35:20

5. Sampling of Analog Signal, Sampling Theorem, Sampling Frequency, Aliasing Effect.mp4

57:24

6. Example on Sampling Theorem, Identifying Sampling Frequency, Nyquist Rate.mp4

30:28

7. Quantization of Continuous Amplitude Signal, Coding, Quantization Error.mp4

50:36

8. Discrete Time Signals, Representations of Discrete Time Signal.mp4

19:51

9. Elementary Discrete Time Signals.mp4

30:37

10. Discrete Time Systems, Identifying Response of Discrete Time System.mp4

01:08:51

11. Block Diagram Representation of Discrete-time Systems, Basic Building Blocks.mp4

21:23

12. Block Diagram Representation of Discrete-time System, Realization.mp4

14:03

13. Classification of Discrete-Time Systems.mp4

30:29

14. Time invariant versus time variant systems.mp4

38:39

15. Linear Versus Non-linear Systems.mp4

43:09

16. Causal Systems, Non-causal Systems.mp4

27:09

17. Stable Versus Unstable Systems.mp4

18:03

18. Classification of Signals.mp4

30:28

2. Analysis of Discrete-Time Linear Time-Invariant Systems

1. Analysis of Discrete-Time Linear Time-Invariant Systems.mp4

30:58

2. Response of Discrete-Time Linear Time-Invariant Systems.mp4

24:20

3. Convolution Sum, Identification of Convolution.mp4

01:18:53

4. Convolution Sum, Identification of Convolution.mp4

33:52

5. Convolution Sum, Identification of Convolution.mp4

19:01

6. Properties of Convolution.mp4

30:56

7. Causal Linear Time-Invariant Systems.mp4

29:32

8. Stability of Linear Time Invariant Systems.mp4

16:50

9. Systems with Finite Duration and Infinite Duration Impulse Response.mp4

14:18

10. Discrete-Time Systems Described by Difference Equations.mp4

10:34

11. Recursive and Non-recursive Discrete Time Systems.mp4

34:57

12. LTI Systems Characterized by Constant-Coefficient Difference Equations.mp4

30:30

13. Solution of Linear Constant-Coefficient Difference Equations.mp4

25:53

14. Identifying homogeneous solution from first order difference equation.mp4

16:47

15. Identifying homogeneous solution from second order difference equation.mp4

17:44

16. The Particular Solution of Difference Equation.mp4

15:21

17. The Particular Solution of Difference Equation.mp4

12:02

18. The Total Solution of The Difference Equation.mp4

38:01

19. Total Response of the Linear Time Invariant System.mp4

53:02

20. Impulse Response of Linear Time-Invariant Recursive Systems.mp4

15:51

21. The Impulse Response of a Linear Time-Invariant Recursive System.mp4

18:34

22. Correlation of Discrete-Time Signals, Cross Correlation, Auto Correlation.mp4

21:54

23. Correlation of Discrete-Time Signals, Cross Correlation Example.mp4

43:43

24. Auto-correlation of Discrete-Time Signal, Correlation of Discrete-Time Signals.mp4

19:02

Description

Signal Processing

What You'll Learn?

Discrete –Time Signals and Systems: Introduction to DSP, Advantages, basic elements of DSP system, sampling theorem, A/D, D/A conversion, quantization
Elementary discretetime sequences. Discrete-time systems: description, representation, classification (linear, time invariant, static, casual, stable)
Analysis of DTLTI systems: The convolution sum, properties of convolution, Analysis of causal LTI systems, stability of LTI systems, step response of LTI system
Difference equation, recursive & non recursive systems, solution of difference equations, Impulse response of LTI recursive system. Correlation of discrete time
z- Transform and Analysis of LTI Systems: Definition of z- Transform, properties, rational z-Transforms, evaluation of the inverse z- Transforms
Analysis of LTI systems in z-domain, transient and steady-state responses, causality, stability, pole-zero cancellation, the Schur-Cohn stability test
Fourier Transforms, the DFT and FFT: Definition & properties of Fourier transform, relation with z-transform. Finite duration sequences and DFT
Properties, circular convolution, Fast algorithms for the computation of DFT: radix-2 and radix- 4 FFT algorithms
Design of Digital Filters: Classification of filters: LP, HP, BP, FIR and IIR filters, filter specifications. Design Windows and by Frequency sampling methods
Design of IIR filters from Analog filters using approximation of derivatives, Impulse invariant transformation, Bilinear transformation and Matched z-Transform
Realization of Discrete-Time systems: Structures for realization of Discrete-Time systems, realization of FIR systems: Direct Form, Cascade Form,
Frequency sampling and Lattice structures. Realization of IIR filters: Direct Form, Signal flow graph and Transposed structures, Cascade form,
Lattice and Lattice ladder. Realization for IIR systems

Who is this for?

Undergraduate and Post Graduate Students

What You Need to Know?

No prerequisite needed. You will learn everything you need to know.

More details

Description
Discrete â€“Time Signals and Systems: Introduction to DSP, Advantages, basic elements of DSP system, sampling theorem, A/D, D/A conversion, quantization. Elementary discretetime sequences. Discrete-time systems: description, representation, classification (linear, timeinvariant, static, casual, stable)
Analysis of DTLTI systems: The convolution sum, properties of convolution, Analysis of causal LTI systems, stability of LTI systems, step response of LTI systems, difference equation, recursive & non recursive discrete time systems, solution of difference equations, Impulse response of LTI recursive system. Correlation of discrete time signals
z- Transform and Analysis of LTI Systems: Definition of z- Transform, properties, rational z-Transforms, evaluation of the inverse z- Transforms, analysis of linear time invariant systems in z-domain, transient and steady-state responses, causality, stability, pole-zero cancellation, the Schur-Cohn stability test
Fourier Transforms, the DFT and FFT: Definition & properties of Fourier transform, relation with z-transform. Finite duration sequences and the discrete Fourier transform(DFT), properties, circular convolution, Fast algorithms for the computation of DFT: radix-2 and radix4 FFT algorithms
Design of Digital Filters: Classification of filters: LP, HP, BP, FIR and IIR filters, filter specifications. Design of FIR filters using Windows and by Frequency sampling methods. Design of IIR filters from Analog filters using approximation of derivatives, Impulse invariant transformation, Bilinear transformation and Matched z-Transformation, Commonly used Analog filters and IIR Filter design example
Realization of Discrete-Time systems: Structures for realization of Discrete-Time systems, realization of FIR systems: Direct Form, Cascade Form, Frequency sampling and Lattice structures. Realization of IIR filters: Direct Form, Signal flow graph and Transposed structures, Cascade form, Lattice and Lattice ladder. Realization for IIR systems
Who this course is for:
Undergraduate and Post Graduate Students

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Electronics

Dr Amol Prakash Bhagat

Instructor's Courses

Dr Amol P. Bhagat, Department of CSE, (Programme Coordinator – Innovation and Entrepreneurship Development Centre, Manager – Business Incubator) Dr Amol P. Bhagat completed his B.E. (Information Technology) from Government College of Engineering, Amravati in the year 2005; with Master’s degree in Computer Science and Engineering from Walchand College of Engineering, Sangli in the year 2009 and Ph.D. in Information Technology under the guidance of Dr. Mohammad Atique in the year 2016 and is a research supervisor since 2019. (Notification No. 22/2019 Dated: 14/03/2019) He has 13.5 years of industry and teaching experience. He is with Prof Ram Meghe College of Engineering & Management, Badnera- Amravati since the year 2010. He has guided around 16 UG and 14 PG projects He has to his credit: 24 Patents filed, 89 Research papers published in National and International Journal and 1 book and 8 book chapters published. He has a vast experience in various domains like Medical Image Processing, Signal Processing, Soft Computing, Machine Learning, Deep Learning, Big Data Analytics, Data Science. He is representing various Committees like Member of Board of Studies IT, Government Polytechnic Amravati, Technical Programme Committee Member in various International Conferences Organized by IEEE, Elsevier, Springer, etc. THE (Times Higher Education) World University Rankings, Advisory Board Member of BI and IIC, Editorial Board Member of International Journals, Session Chair in International Conferences, Nodal Officer for ARIIA He has coordinated a number of Short term training programs and faculty development programmes in association with bodies like DST, NSTEDB, MSME, EDII, DTE Awards receivedo Start UP NIDHI Award – 2018 from DSTo IETE Higher Technical Proficiency Award -2017o Ideal Teaching Proficiency Award – 2018o Reviewer Recognition for Outstanding Contributions made to the quality of journal from Elsevier Biomedical Signal Processing and Control, Amsterdam, The Netherlandso Reviewer Recognition for Outstanding Contributions made to the quality of journal from Elsevier International Journal of Electrical Power and Energy Systems, Amsterdam, The Netherlandso Bharat Ratna Mother Teresa Gold Medal Award for National Economic Growth through Individual Contribution Mentor for DST funded research projects, Smart India Hackathon, Atal Tinkering Labs (Atal Innovation Mission, NITI Aayog), and various Start UPs Served as Resource Person in more than 70 programmes such as Workshops, STTPs, FDPs sponsored and funded by IETE, ISTE, IEI, AICTE, DST, CSI, NABARD, Ministry of Agriculture, etc.

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