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Course Description

igital 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
  • Lec-1 Discrete Time Signal and System
  • Lec-2 Discrete Time Signal and System(Contd...)
  • Lec-3 Discrete Time Signal and System(Contd...)
  • Lec-4 Frequency Domain Representation of Discrete Signals
  • Lec-5 Z-Transform
  • Lec-6 Z-Transform(Contd...)
  • Lec-7 Solution of Difference Equation
  • Lec-8 Tutorial on Discrete Time Signals&Their Transforms
  • Lec-9 Relation Between Discrete Time and Continuous Signals
  • Lec-10 Discrete Fourier Transform(DFT)
  • Lec-11 Discrete Fourier Transform(DFT) Contd...
  • Lec-12 Discrete Fourier Transform(DFT) Contd...
  • Lec-13 State Space Representation
  • Lec-14 Filters Introduction
  • Lec-15 FIR Filters
  • Lec-16 FIR Filters(Contd.) Introduction to IIR Filters
  • Lec-17 IIR Filters(Contd...)
  • Lec-18 IIR Filters(Contd...)
  • Lec-19 IIR Filters(Contd...)
  • Lec-20 Tutorial & Introduction to Computer Aided Design of Filters
  • Lec-21 Computer Aided Design of Filters
  • Lec-22 FFT and Computer Aided Design of Filters
  • Lec-23 Introduction to Lattice Filter
  • Lec-24 Lattice Filter(Contd...)
  • Lec-25 Effects of Quantization
  • Lec-26 Effects of Quantization(Contd...)
  • Lec-27 Effects of Quantization(Contd...)
  • Lec-28 Effects of Quantization(Contd...)
  • Lec-29 Random Signals
  • Lec-30 Relationship Between Real and Imaginary Parts of DTFT
  • Lec-31 Relationship Between Real and Imaginary Parts of DTFT
  • Lec-32 Relationship Between Real and Imaginary Parts of DTFT
  • Lec-33 Multi rate Signal Processing
  • Lec-34 Multi rate Signal Processing(Contd...)
  • Lec-35 Polyphase Decomposition
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