NPTEL : NOC:Discrete Time Signal Processing (Electronics and Communication Engineering)

Co-ordinators : Prof. Mrityunjoy Chakraborty


Lecture 1 - Introduction

Lecture 2 - Discrete Time Signals and Systems

Lecture 3 - Linear, Shift Invariant Systems

Lecture 4 - Properties of Discrete Convolution Causal and Stable Systems

Lecture 5 - Graphical Evaluation of Discrete Convolutions

Lecture 6 - Discrete Time Fourier Transform

Lecture 7 - Properties of DTFT

Lecture 8 - Dirac Comb and Sampling Analog Signals

Lecture 9 - Relation between DTFT and Analog Fourier Transform

Lecture 10 - Nyquist Interpolation Formula

Lecture 11 - Rational Systems

Lecture 12 - Properties of Rational Systems

Lecture 13 - Introduction to Z-transform

Lecture 14 - Properties of Z-transform

Lecture 15 - Properties of z-transform

Lecture 16 - Inverse z-transform

Lecture 17 - Introduction to DFT

Lecture 18 - Properties of DFT

Lecture 19 - Introduction to Interpretation of Circular Convolution

Lecture 20 - Graphically Interpretation of Circular Convolution

Lecture 21 - Zero Padding and Linear convolution Via DFT

Lecture 22 - Decimation and DFT of Decimated Sequences

Lecture 23 - Expension and Interpolation of Sequences

Lecture 24 - Factor-of-M Polyphase Decomposition of Sequences

Lecture 25 - Nobel Identifies

Lecture 26 - Efficient Decimator and Interpolator Structure

Lecture 27 - Linear Phase Filters

Lecture 28 - Properties of Linear Phase Filters

Lecture 29 - Structures for IIR Filters

Lecture 30 - Structures for FIR Filters

Lecture 31 - Analog LTI Systems, Fourier and Laplace Transforms

Lecture 32 - Pole, Zero and Stability of of Analog Filters

Lecture 33 - Analog Filter Design Example Butterworth Lowpass Filter

Lecture 34 - IIR Filter Design by Implus Invariance Method

Lecture 35 - Design Filter Design from Analog Proptotype Filters by s-z Transformations

Lecture 36 - Bilinear Transformation

Lecture 37 - FIR Filter Design by Window

Lecture 38 - FFT: Decimation in Time

Lecture 39 - Complexity Analysis of FFT

Lecture 40 - Bit Reversal and FFT