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Course11710514967 lectures

Signal Processing Techniques And Its Applications

Prof. Shyamal Das Mandal · IIT Kharagpur

Start with lecture 1 At NPTEL

Lectures

week-01

  1. Lecture 01 : Introduction Video
  2. Lecture 02 : Signal and its Types Video
  3. Lecture 03 : Characteristics of a Signal Video
  4. Lecture 04 : Digitization of Signal Video
  5. Lecture 05 : Digitization of Signal(Continued) Video
  6. Lecture 06 : Concept of Frequency in Continuous-time and Discrete-time Signal Video
  7. Tutorial 1 Video

week-02

  1. Lecture 07 : Discrete Time Signal Video
  2. Lecture 08 : Discrete Time System Video
  3. Lecture 09 : D.T.S (L.T.I System) Video
  4. Lecture 10 : Linear Time-Invariant Systems(Continued) Video
  5. Lecture 11 : Correlation Video
  6. Tutorial 02 Video

week-03

  1. Lecture 12 : Z - Transform Video
  2. Lecture 13 : Z - Transform Properties Video
  3. Lecture 14 : Pole and Zero in Z - Transform Video
  4. Lecture 15 : Inverse Z - Transform Video

week-04

  1. Lecture 16 : Frequency-Domain Representation of Discrete Signals and L.T.I Systems Video
  2. Lecture 17 : Discrete Fourier Transform (DFT) Video
  3. Lecture 18 : Discrete Fourier Transform Linear Transform View Video
  4. Lecture 19 : Discrete Fourier Transform Linear Transform View (Continued) Video
  5. Lecture 20 : Properties of Discrete Fourier Transform Video

week-05

  1. Lecture 21 : Properties of Discrete Fourier Transform (Contd.) Video
  2. Lecture 22 : Properties of Discrete Fourier Transform (Contd.) Video
  3. Lecture 23 : Properties of Discrete Fourier Transform (Contd.) Video
  4. Lecture 24 : Linear Filtering Video
  5. Tutorial 5 Video

week-06

  1. Lecture 25 : Two Dimensional Discrete Fourier Transform Video
  2. Lecture 26 : Discrete Cosine Transform Video
  3. Lecture 27 : Frequency analysis of long signal using DFT Video
  4. Lecture 28 : Short-Time Fourier Transform (STFT) Video
  5. Lecture 29 : STFT Synthesis Video

week-07

  1. Lecture 30 : Fast Fourier Transform (FFT) Algorithms Video
  2. Lecture 31 : Fast Fourier Transform (FFT) Algorithms (Contd.) Video
  3. Lecture 32 : Radix-2 FFT Algorithms Video
  4. Lecture 33 : Radix-2 FFT Algorithms (Contd.) Video
  5. Lecture 34 : Spectrum and spectrogram Video

week-08

  1. Lecture 35 : Digital Filter Video
  2. Lecture 36 : FIR Filter Video
  3. Lecture 37 : Linear Symmetric & Anti-symmetric filter Video
  4. Lecture 38 : FIR Filter Design Video
  5. Lecture 39 : Frequency Sampling Method Video

week-09

  1. Lecture 40 : Design Optimum equiripple Linear-Phase FIR Filters (optimization methods) Video
  2. Lecture 41 : Infinite Impulse Response (IIR) Filters Video
  3. Lecture 42 : Traditional Analog Filter Design Video
  4. Lecture 43 : Chebyshev filter Design Method Video
  5. Lecture 44 : Analogue filter to digital filter transformation Video

week-10

  1. Lecture 45 : Linear Prediction and Optimum Linear Filters Video
  2. Lecture 46 : Autocorrelation Method for Linear Prediction Video
  3. Lecture 47 : Covariance Method for Linear Prediction Video
  4. Lecture 48 : Lattice Formulations of Linear Prediction Video
  5. Lecture 49 : Lattice Formulations of Linear Prediction (Contd..) Video

week-11

  1. Lecture 50 : Introduction to Multirate Signal Processing Video
  2. Lecture 51 : Analysis of Decimation and Interpolation Video
  3. Lecture 52 : Fractional Rate Conversion Video
  4. Lecture 53 : Implementations of Decimator and Interpolator Video
  5. Lecture 54 : Sample Rate Conversion by Stages Video

week-12

  1. Lecture 55 : Power Spectrum Estimation Video
  2. Lecture 56 : Power Spectrum Estimation (Contd.) Video
  3. Tutorial 12 : Tutorial for Final Examination Video

Live Session

  1. Live Session 03-04-2022 Video
  2. Live Session 11-04-2022 Video
  3. Live Session 11-03-2024 Video
  4. Live Session 28-03-2024 Video
  5. Live Session 19-04-2024 Video
  6. Live Session 20-03-2025 Video
  7. Live Session 24-04-2025 Video

Syllabus and materials

At NPTEL, as the course publishes them.

Credits and licence

Institution
IIT Kharagpur
Department
Electronics & Communication Engineering
Teacher
Prof. Shyamal Das Mandal
Level
Undergraduate
Language
English
Subjects
Engineering, Society and politics
Source
NPTEL
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only. NPTEL's terms
Attribution
NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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