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43
Sessions

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Course Description

Digital signal processing (DSP) is the mathematical manipulation of an information signal to modify or improve it in some way.

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Course Syllabus
  • Lecture 1 - Digital Signal Processing Introduction
  • Lecture 2 - Digital Signal Processing Introduction Contd
  • Lecture 3 - Digital Systems
  • Lec 4 - Characterization Description,Testing of Digital Syst
  • Lecture - 5 LTI Systems Step & Impulse Responses,Convolution
  • Lecture - 6 Inverse Systems,Stability,FIR & IIR
  • Lecture - 7 FIR & IIR; Recursive & Non Recursive
  • Lecture - 8 Discrete Time Fourier Transform
  • Lecture - 9 Discrete Fourier Transform (DFT)
  • Lecture - 10 DFT (Contd.)
  • Lecture - 11 DFT (Contd.) Introduction to Z Transform
  • Lecture - 12 Z Transform
  • Lecture-13 Z Transform (Contd...)
  • Lecture - 14 Discrete Time Systems in the Frequency Domain
  • Lecture - 15 Simple Digital Filters
  • Lecture - 16 All Pass Filters,Com.Filters
  • Lecture - 17 Linear Phase filters,Complementary Transfer Fn
  • Lecture - 18 Compensatary Transfer Functions, (Contd.),
  • Lecture - 19 Test for Stability using All Pass Functions
  • Lecture - 20 Digital Processing of Continuous Time Signals
  • Lecture - 21 Problem Solving Session: FT, DFT,& Z Transforms
  • Lecture - 22 Problem Solving Session: FT,DFT, & Z Transforms
  • Lecture - 23 Analog Filter Design
  • Lecture - 24 Analog Chebyshev LPF Design
  • Lecture - 25 Analog Filter Design (Contd.): Transformations
  • Lecture - 26 Analog frequency Transformation;
  • Lecture - 27 Problem Solving Session on Discrete Time System
  • Lecture - 28 Digital Filter Structures
  • Lecture - 29 IIR Realizations
  • Lecture - 30 All Pass Realizations
  • Lecture - 31 Lattice Synthesis (Contd.)
  • Lecture - 32 FIR Lattice Synthesis
  • Lecture - 33 FIR Lattice (Contd.) and Digital Filter Design
  • Lecture - 34 IIR Filter Design
  • Lecture - 35 IIR Design by Bilinear Transformation
  • Lecture - 36 IIR Design Examples
  • Lecture 37 - Digital to Digital Frequency Transformation
  • Lecture 38 - FIR Design
  • Lecture - 39 FIR Digital Filter Design by Windowing
  • Lecture - 40 FIR Design by Windowing & Frequency Sampling
  • Lecture 41 - Solving Problems on DSP Structures
  • Lecture 42 - FIR Design by Frequency Sampling
  • Lecture - 43 FIR Design by Frequency Sampling (Contd.)
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