Digital Signal Processing
Module 4
syllabus
Structures for the realization of Discrete Time Systems - Block diagram and signal flow graph representations of filters, FIR Filter Structures: Linear structures, Direct Form, CascadeForm, IIR Filter Structures: Direct Form, Transposed Form, Cascade Form and Parallel Form, Computational Complexity of Digital filter structures. Multi-rate Digital Signal Processing: Decimation and Interpolation (Time domain and Frequency Domain Interpretation ), Anti- aliasing and anti-imaging filter.
Video Lectures
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Introduction to realisation of FIR filters | Direct form realisation | DSP Module 4 | Lecture 53
Topic covered
Introduction to realisation of discrete time system
Realisation of FIR filters
Types of realisation of FIR filters
Direct form realisation solved problem
Realisation of FIR filters | Cascade form realisation | DSP Module 4 | Lecture 54
Topic covered
Realisation of FIR filters
Cascade form realisation solved problem
Cascade form realisation Problem 2 | Step by step Solution | DSP Module 4 | Lecture 55
Topic covered
Realisation of FIR filters
Cascade form realisation solved problem
Linear phase realisation of FIR filter | Solved problem | DSP Module 4 | Lecture 56
Topic covered
Linear phase realisation of FIR filter
Solved problem
Linear phase realisation of FIR filter | Solved problem 2 | DSP Module 4 | Lecture 57
Topic covered
Linear phase realisation of FIR filter
Solved problem 2
Linear phase realisation of FIR filter | Solved problem 3 | DSP Module 4 | Lecture 58
Topic covered
Linear phase realisation of FIR filter
Solved problem 3
Lattice to direct form coefficient conversion | Solved problem | DSP Module 4 | Lecture 59
Topic covered
Conversion of lattice coefficient to direct form coefficient
Solved problem
Direct to Lattice form coefficient conversion | Solved problem | DSP Module 4 | Lecture 60
Topic covered
Conversion of direct coefficient to lattice form coefficient
Solved problem
Introduction to IIR filter realisation | Direct form 1 realisation | DSP Module 4 | Lecture 61
Topic covered
Introduction to IIR filter realisation
Direct form realisation
Solved problem in direct form 1 realisation
IIR filter realisation using direct form 1 realisation | DSP Module 4 | Lecture 62
Topic covered
IIR filter realisation - Direct form realisation
Solved problem in direct form 1 realisation
IIR filter realisation using direct form 2 realisation | DSP Module 4 | Lecture 63
Topic covered
IIR filter realisation - Direct form 2 realisation
Solved problem in direct form 2 realisation
IIR filter realisation using direct form 2 | Solved problem 2 | DSP Module 4 | Lecture 64
Topic covered
IIR filter realisation - Direct form 2 realisation
Solved problem in direct form 2 realisation
IIR filter realisation using Cascade form realisation | Solved problem | DSP Module 4 | Lecture 65
Topic covered
IIR filter realisation - cascade form realisation
Solved problem in cascade form realisation
IIR filter realisation using Parallel form realisation | Solved problem | DSP Module 4 | Lecture 66
Topic covered
IIR filter realisation - parallel form realisation
Solved problem in parallel form realisation
Multi rate DSP | Down sampling - solved problems | anti-aliasing filter | DSP Module 4 | Lecture 67
Topic covered
Introduction to multi-rate DSP,- Down sampling method,- Solved problem - time domain - down sampling in MATLAB, - Spectrum of down sampling signal, Solved problem - frequency domain - aliasing and anti-aliasing filters
Multi rate DSP | Up sampling - solved problems | anti-imaging filter | DSP Module 4 | Lecture 68
Topic covered
up sampling method - Solved problem - time domain - up sampling in MATLAB - Spectrum of up sampling signal - Solved problem - frequency domain - anti-imaging filters