Learn · Digital Signal Processing and its Applications
Lecture 39 of 102Week 5
Lecture 13C: Example of Z transform
Prof. V. M. Gadre · IIT Bombay
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All the lectures
- Lecture 1: Introduction: Digital signal processing and its objectives
- Lecture 2A: Introduction to sampling and Fourier Transform
- Lecture 2B: Sampling of sine wave and associate complication
- Lecture 3A: Review of Sampling Theorem
- Lecture 3B: Idealized Sampling, Reconstruction
- Lecture 3C: Filters And Discrete System
- Lecture 4A: Answering questions from previous lectures.
- Lecture 4B: Desired requirements for discrete system
- Lecture 4C: Introduction to phasors
- Lecture 4D: Advantages of phasors in discrete systems
- Lecture 5A: What do we want from a discrete system?
- Lecture 5B: Linearity - Homogeneity and Additivity
- Lecture 5C: Shift Invariance and Characterization of LTI systems
- Lecture 6A: Characterization of LSI system using it's impulse response
- Lecture 6B: Introduction to convolution
- Lecture 6C: Convolution:deeper ideas and understanding
- Lecture 7A: Characterisation of LSI systems, Convolution-properties
- Lecture 7B: RESPONSE OF LSI SYSTEMS TO COMPLEX SINUSOIDS
- Lecture 7C: CONVERGENCE OF CONVOLUTION AND BIBO STABILITY
- Lecture 8A: Commutativity & Associativity
- Lecture 8B: BIBO Stability of an LSI system
- Lecture 8C: Causality and memory of an LSI system.
- Lecture 8D: Frequency response of an LSI system.
- Lecture 9A: Introduction and conditions of Stability
- Lecture 9B: Vectors and Inner Product.
- Lecture 9C: Interpretation of Frequency Response as Dot Product .
- Lecture 9D: Interpretation of Frequency Response as Eigenvalues
- Lecture 10A: Discrete time fourier transform
- Lecture 10B: DTFT in LSI System and Convolution Theorem.
- Lecture 10C: Definitions of sequences and Properties of DTFT.
- Lecture 11A: Introduction to DTFT, IDTFT
- Lecture 11B: Dual to convolution property
- Lecture 11C: Multiplication Property, Introduction to Parseval's theorem
- Lecture 12A: Introduction And Property of DTFT
- Lecture 12B: Review of Inverse DTFT
- Lecture 12C: Parseval's Theorem and energy and time spectral density
- Lecture 13A: Discussion on Unit Step
- Lecture 13B: Introduction to Z transform
- Lecture 13C: Example of Z transform
- Lecture 13D: Region of Convergence
- Lecture 13E: Properties of Z transform
- Lecture 14A: Z- Transform
- Lecture 14B: Rational System
- Lecture 15A: INTRODUCTION AND EXAMPLES OF RATIONAL Z TRANSFORM AND THEIR INVERSES
- Lecture 15B: DOUBLE POLE EXAMPLES AND THEIR INVERSE Z TRANSFORM
- Lecture 15C: PARTIAL FRACTION DECOMPOSITION
- Lecture 15D: LSI SYSTEM EXAMPLES
- Lecture 16A: Why are Rational Systems so important?
- Lecture 16B: Solving Linear constant coefficient difference equations which are valid over a finite range of time
- Lecture 16C: Introduction to Resonance in Rational Systems
- Lecture 17A: Characterization of Rational LSI system
- Lecture 17B: Causality and stability of the ROC of the system function
- Lecture 18A: RECAP OF RATIONAL SYSTEMS AND DISCRETE TIME FILTERS
- Lecture 18B: SPECIFICATIONS FOR FILTER DESIGN
- Lecture 18C: FOUR IDEAL PIECEWISE CONSTANT FILTERS
- Lecture 18D: IMPORTANT CHARACTERISTICS OF IDEAL FILTERS
- Lecture 19A: Synthesis of Discrete Time Filters, Realizable specifications
- Lecture 19B: Realistic Specifications for low pass filter. Filter Design Process
- Lecture 20A: Introduction to Filter Design. Analog IIR Filter,FIR discrete-time filter, IIR discrete-time filter.
- Lecture 20B: Analog to discrete transform
- Lecture 20C: Intuitive transforms, Bilinear Transformation
- Lecture 21A: Steps for IIR filter design
- Lecture 21B: Analog filter design using Butterworth Approximation
- Lecture 22A: Butterworth filter Derivation And Analysis of butterworth system function
- Lecture 22B: Chebychev filter Derivation
- Lecture 23: Midsem paper review discussion
- Lecture 24A: The Chebyschev Approximation
- Lecture 24B: Next step in design: Obtain poles
- Lecture 25A: Introduction to Frequency Transformations in the Analog Domain
- Lecture 25B: High pass transformation
- Lecture 25C: Band pass transformation
- Lecture 26A: Frequency Transformation
- Lecture 26B: Different types of filters
- Lecture 27A: Impulse invariant method and ideal impulse response
- Lecture 27B: Design of FIR of length (2N+1) by the truncation method,Plotting the function V(w)
- Lecture 28A: IIR filter using rectangular window, IIR filter using triangular window
- Lecture 28B: Proof that frequency response of an fir filter using rectangular window function centred at 0 is real.
- Lecture 29A: Introduction to window functions
- Lecture 29B: Examples of window functions
- Lecture 29C: Explanation of Gibb's Phenomenon and it's application
- Lecture 30A: Comparison of FIR And IIR Filter's
- Lecture 30B: Comparison of FIR And IIR Filter's
- Lecture 30C: Comparison of FIR And IIR Filter's
- Lecture 31A: Introduction and approach to realization (causal rational system)
- Lecture 31B: Comprehension of Signal Flow Graphs and Achievement of Pseudo Assembly Language Code.
- Lecture 32A: Introduction to IIR Filter Realization and Cascade Structure
- Lecture 32B: Cascade Parallel Structure
- Lecture 32C: Lattice Structure
- Lecture 33A: Recap And Review of Lattice Structure, Realization of FIR Function.
- Lecture 33B: Backward recursion, Change in the recursive equation of lattice.
- Lecture 34A: Lattice structure for an arbitrary rational system
- Lecture 34B: Example realization of lattice structure for rational system
- Lecture 35A: Introductory Remarks of Discrete Fourier Transform and Frequency Domain Sampling
- Lecture 35B: Principle of Duality, The Circular Convolution
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