Digital Signal Processing By Chitode
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Digital Signal Processing
FFT DFT - Efficient computation of DFT Properties of DFT - FFT algorithms - Radix-2 FFT algorithms - Decimation in time - Decimation in frequency algorithms - Use of FFT algorithms in linear filtering and correlation.Digital Filters DesignAmplitude and phase responses of FIR filters - Linear phase filters - Windowing techniques for design of linear phase FIR filters - Rectangular, Hamming, Kaiser windows - Frequency sampling techniques - IIR filters - Magnitude response - Phase response - Group delay - Design of lowpass Butterworth filters (lowpass) - Bilinear transformation - Prewarping, Impulse invariant transformation.Finite Word Length EffectsQuantization noise - Derivation for quantization noise power - Fixed point and binary floating point number representation - Comparison - Over flow error - Truncation error - Co-efficient quantization error - Limit cycle oscillation - Signal scaling - Analytical model of sample and hold operations.Power Spectrum EstimationComputation of energy density spectrum - Auto correlation and power spectrum of random signals. Periodogram - Use of DFT in power spectrum estimation - Non parametric methods for power spectral estimation : Bartlett and Welch methods - Blackman and Tukey method.Digital Signal ProcessorsIntroduction to DSP architecture - Harvard architecture - Dedicated MAC unit - Multiple ALUs, Advanced addressing modes, Pipelining, Overview of instruction set of TMS320C5X and C54X.
Signals & System Analysis
Author: Dr. J. S. Chitode
language: en
Publisher: Technical Publications
Release Date: 2020-11-01
The book is written for an undergraduate course on the Signals and Systems. It provides comprehensive explanation of continuous time signals and systems , analogous systems, Fourier transform, Laplace transform, state variable analysis and z-transform analysis of systems. The book starts with the various types of signals and operations on signals. It explains the classification of continuous time signals and systems. Then it includes the discussion of analogous systems. The book provides detailed discussion of Fourier transform representation, properties of Fourier transform and its applications to network analysis. The book also covers the Laplace transform, its properties and network analysis using Laplace transform with and without initial conditions. The book provides the detailed explanation of modern approach of system analysis called the state variable analysis. It includes various methods of state space representation of systems, finding the state transition matrix and solution of state equation. The discussion of network topology is also included in the book. The chapter on z-transform includes the properties of ROC, properties of z-transform, inverse z-transform, z-transform analysis of LTI systems and pulse transfer function. The state space representation of discrete systems is also incorporated in the book. The book uses plain, simple and lucid language to explain each topic. The book provides the logical method of explaining the various complicated topics and stepwise methods to make the understanding easy. The variety of solved examples is the feature of this book. The book explains the philosophy of the subject which makes the understanding of the concepts very clear and makes the subject more interesting.
Signals and Systems
Author: Dr. J. S. Chitode
language: en
Publisher: Technical Publications
Release Date: 2021-01-01
Analysis of signals is given in first chapter. Types of signals, properties of systems are also presented. Second chapter presents Fourier series analysis. Its properties are also discussed. Fourier transform is given in third chapter, along with its properties. The transmission of signals through linear systems in given in fourth chapter. Realizability and distortion less transmission is also discussed. Fifth chapter discusses, convolution, its properties and impulse response properties of LTI systems. Causality and stability are discussed. Autocorrelation and cross correlation is also given. Energy spectral density and power spectral density along with their properties are also given. Sampling principles and types are given in sixth chapter. Chapter seventh and eighth presents Laplace transforms and z-transforms in detail. Their properties, inversion and applications to LTI systems are analyzed in detail. Relationships among transforms are also given. All the concepts are supported with lot of solved examples.