Digital Signal Processing
I. K. Gujral Punjab Technical University - Electronics and Communication Engineering - SEM V


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  • Lectures
  • 124 Lectures
  • Videos
  • 32.12 Hrs Video

Course Description

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Curriculum

Total Chapters: 10 124 Videos

Chapter No. 1 : Introduction to Digital Signal Processing

   

Discrete Time Signals Processing

Preview 15.24

Convolution in Discrete time signal Processing

Preview 1.1

Circular Convolution discrete time signal processing

8.05

Circular Convolution in discrete time signal Processing - Problem

21.24

Linear Time Invariant Systems in Discrete time signal Processing - Representation

7.42

Linear Time Invariant System using Z-Transform method - analysis

6.16

System Transfer Function in Z-Transform

6.49

Pole-Zero Representation of a System in Z-Transform

6.3

Pole-Zero Representation of a System in Z-Transform - Problem 1

6.58

Pole-Zero Representation of a System in Z-Transform - Problem 2

10.04

Pole-Zero of Transfer Functions - Significance

22.15

Discrete Time signal Time Processing - Impulse Response

13.28

Impulse Response in Discrete Time signal Time Processing - Problem 1

13.28

Impulse Response in Discrete Time signal Time Processing - Problem 2

4.57

Discrete Time Signal Processing - Frequency Response

6.05

Frequency Response in Discrete Time Signal Processing - Problem 1

7.06

Frequency Response in Discrete Time Signal Processing - Problem 2

17.19

Frequency Response in Discrete Time Signal Processing - Problem 3

8.27

Response of Linear Time Invariant System in Discrete Time Signal Processing - Problem

12.19

Infinite Impulse Response (IIR) System and Finite Impulse Response (FIR) System

9.09

Chapter No. 2 : Discrete Fourier transform (DFT)

   

Discrete fourier Transform (DFT) and Discrete Time Fourier Transform (DTFT)

Preview 12.34

Discrete Fourier transform (DFT) & Discrete- Time Fourier transform (DTFT) - Relation between

Preview 9.01

Discrete Time Fourier Transform (DTFT) - Problem

4.45

Discrete Fourier transform (DFT) - Problem

10.21

DFT using Matrix Method - Problem

22.21

Discrete Fourier transform (DFT) - Properties

36.02

Properties of Discrete Fourier transform (DFT) - Problem

24.19

Discrete Fourier Transform (DFT) - Properties

14.3

Properties of Discrete Fourier Transform (DFT) - Problem

60.09

Chapter No. 3 : Fast Fourier Transform (FFT)

   

Fast fourier Transform (FFT)

Preview 12.11

4 Point DIT(Decimation In Time) FFT Graph

Preview 10.49

4 Point DIT(Decimation In Time) Fast Fourier Transform (FFT) Graph - Problem

4.27

4 Point DIT(Decimation In Time) Fast Fourier Transform (FFT) Graph - Problem

7.35

4 Point DIT(Decimation In Time) Fast Fourier Transform (FFT) Graph - Problem

3.16

What is 8 point DIT(Decimation In Time) Fast Fourier Transform (FFT) FlowGraph

18.23

8 point DIT(Decimation In Time) Fast Fourier Transform (FFT) FlowGraph - Problem 1

11.11

8 point DIT(Decimation In Time) Fast Fourier Transform (FFT) FlowGraph - Problem 2

13.36

Chapter No. 4 : Inverse Fast Fourier Transform

   

DIT(Decimation In Time) Fast Fourier Transform (FFT) FlowGraph - Problem

Preview 11.22

Inverse fast Fourier Transform (IFFT) using fast Fourier Transform(FFT

Preview 9.24

Inverse fast Fourier Transform (IFFT) - Problem 2

34.17

Composite Radix FFT - Concept

9.26

Composite Radix FFT Flowgraph

33.11

Chapter No. 5 : Finite Impulse Response (FIR) Filters

   

Finite Impulse Response(FIR) in Digital filter

Preview 8.32

Windowing Technique in Digital Filter

Preview 8.13

Windows - Types

5.28

Windowing Technique in FIR Filter - Problem 1

15.5

Windowing Technique in FIR Filter - Problem 2

19.41

Windowing Technique in FIR Filter - Problem 3

24.42

Windowing Technique in FIR Filter - Problem 4

21.59

Window Function in FIR Filter - Frequency Characteristics

5.34

Frequency Characteristics of Window Function in FIR Filter - Problem 1

17.16

Frequency Characteristics of Window Function in FIR Filter - Problem 2

22.45

Design FIR FIlters - frequency sampling method

13.06

Design of FIR Filters using frequency Sampling Method - Problem

21.02

Chapter No. 6 : Infinite Impulse Response Filters

   

Infinite Impulse Response (IIR) System in Digital Filter

Preview 13.43

Impulse Invariance Method in Digital IIR Filter

Preview 24.5

Impulse Invariance Method in Digital IIR Filter - Problem 1

10.53

Impulse Invariance Method in Digital IIR Filter - Problem 2

17.21

Impulse Invariance Method in Digital IIR Filter - Basic formula

9.48

Bilinear transformation method in Digital IIR Filter - Problem 1

8.21

Bilinear transformation method in Digital IIR Filter - Problem 2

5.36

Butterworth filter Approximation

17.32

Butterworth Filter Design - Problem 1

28.31

Butterworth Filter Design - Problem 2

17.43

Butterworth Filter Design - Problem 3

12.44

Chebyshev Filter Approximation

19.45

Design of Chebyshev Filter based on Type 1 Chebyshev Filter - Problem 1

24.53

Design of Chebyshev Filter - Problem 2

30

Chapter No. 7 : Realization of Digital Filter

   

Digital Filter - Realization

Preview 29.37

Direct form I in Realization of Digital Filter - Problem 1

Preview 15.04

Direct form I in Realization of Digital Filter - Problem 2

11.11

Direct Form II in Realization of Digital Filter

9.06

Direct Form II in Realization of Digital Filter - Problem 1

16.34

FIR Filter - Realization

11.24

Direct Form Structure in Realization of FIR Filters - Problem 1

8.26

Direct Form Structure in Realization of FIR Filters - Problem 2

3.44

Linear Phase in Realization of FIR Filter - Problem 1

13.07

Linear Phase in Realization of FIR Filter - Problem 2

2.49

FIR Filter - Frequency Sampling Structure

27.53

Cascade and parallel realization - Introduction

19.13

Cascade Form in Realization of FIR Filter - Problem 1

4.59

Cascade Form in Realization of FIR Filter - Problem 2

3.37

Lattice Realization of FIR Filters - Problem

22.02

Design Lattice Structure - IIR Filters

22.45

Limit Cycles in IIR Digital Filters - Concept

17.12

implement Lattice Structures for IIR Filters - Problem

24.2

Chapter No. 8 : Multi Rate Signal Processing

   

Multirate Signal Processing or Multirate Sampling

Preview 6.47

Sampling Rate Conversation Method in Multi Rate Signal Proccessing - Step

Preview 8.38

Down sampling and Up sampling

22.11

Up Sampling and Down Sampling - Frequency Charcateristics

30.35

Sampling rate - Decimation

28.11

z-domain in Interpolation - analysis

27.32

Sampling Rate Conversation by a rational factor

24.58

Polyphase Filter - design

15.34

Polyphase Structures - Implement

15.43

Multirate signal Processing - Noble Identity

7.24

Decimator and Interpolator in Polyphase filter - implement

19.26

Digital Filter Bank

22.57

Quadrature Mirror Filter (QMF)

19.13

sampling rate converter - Multistage implementation

18.36

Multistage implementation - Problem

29.54

Sub-band coding - Concept

17.32

Chapter No. 9 : Application of digital signal processing

   

Digital Telephones - DTMF using Goertzel Algorithm

Preview 7.55

Eco Cancellation over telephone channels

Preview 6.3

Over Sampling A to D converter

13.34

Over sampling D to A converter

1.41

Explain Transmultiplexer

6.12

Chapter No. 10 : Analysis of finite word length effects

   

Number representation in Discrete Time Signal Processing (DTSP)

Preview 20.31

Fixed point and Floting point binary numbers

Preview 35.05

Negative Number System - Representation

16.4

Truncation and Rounding

8.37

Truncation Effect of one's complement number

8.44

Sign and Magnitude representation of negative number

13.07

Effect of truncation

19.13

Arithmetic round off Error - Explain Concept Analysis

17.55

Dynamic Range Scaling - Explain Concept

11.39

Quantization noise

52.51

Signal-to-quantization-noise ratio - Explain

6.59

Design of Sparse Antenna Array - Explain

14.41

Two's complement number - Truncation Effect

19.12