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Digital Signal Processing - A Modern Introduction / Edition 1

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Overview

This book provides a modern and self-contained introduction to digital signal processing (DSP). It is supplemented by a vast number of end-of-chapter problems such as worked examples, drill exercises, and application oriented problems that require the use of computational resources such as MATLAB. Also, many figures have been included to help grasp and visualize critical concepts. Results are tabulated and summarized for easy reference and access. The text also provides a broader perspective to the content by introducing useful applications and additional special topics in each chapter. These form the background for more advanced graduate courses.

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Product Details

  • ISBN-13: 9780534405090
  • Publisher: CL Engineering
  • Publication date: 2/27/2006
  • Edition description: New Edition
  • Edition number: 1
  • Pages: 608
  • Product dimensions: 8.10 (w) x 9.30 (h) x 1.10 (d)

Meet the Author

Dr. Ashok K. Ambardar, Professor at Michigan Technological University, attended the Indian Institute of Technology, Delhi, where he obtained a BT in Electrical Engineering in 1967. He went on to the Indian Institute of Science, Bangalore, and earned an ME in Electronic Communications. Ambardar came to the US in 1969 and obtained an MS in Electrical Engineering from the University of Wisconsin-Madison and a PhD from the University of Wyoming. He joined the Michigan Tech faculty in 1976 and has taught in the Department of Electrical and Computer Engineering ever since.

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Table of Contents

Chapter 1 - Overview Introduction / Signals / Digital Filters / Signal Processing / The DFT and FFT / Advantages of DSP Chapter 2 - Discrete Signals Scope and Objectives / Discrete Signals / Operations on Discrete Signals / Decimation and Interpolation / Common Discrete Signals / Discrete-Time Harmonics and Sinusoids / The Sampling Theorem / An Introduction to Random Signals Chapter 3 - Time-Domain Analysis Scope / Discrete-Time Systems / Digital Filters / Response of Digital Filters / Solving Difference Equations / Zero-Input Response and Zero-State Response / The Impulse Response / System Representation in Various Forms / Application-Oriented Examples / Discrete Convolution / Convolution Properties / Convolution of Finite Sequences / Stability and Causality of LTI Systems / System Response to Periodic Inputs / Periodic or Circular Convolution / Deconvolution / Discrete Correlation / Discrete Convolution and Transform Methods Chapter 4 - z-Transform Analysis Scope and Objectives / The Tow-Sided z-Transform / Properties of the Two-Sided z-Transform / Poles, Zeros, and the z-Plane / The Transfer Function / Interconnected Systems / Transfer Function Realization / Causality and Stability of LTI Systems / The Inverse z-Transform / The One-Sided z-Transform / The z-Transform and System Analysis Chapter 5 - Frequency Domain Analysis Scope and Objectives /The DTFT from the z-Transform / Properties of the DTFT / The DTFT of Discrete-Time Periodic Signals / The Inverse DTFT / The Frequency Response / System Analysis Using the DTFT / Connections Chapter 6 - Filter Concepts Scope and Objectives / Frequency Response and Filter Characteristics / FIR Filters and Linear-Phase / IIR Filters / Allpass Filters Chapter 7 - Digital Processing of Analog Signals Scope and Objectives / Ideal Sampling / Sampling, Interpolation, and Signal Recovery / Sampling Rate Conversion / Quantization / Digital Processing of Analog Signals / Compact Disc Digital Audio / Dynamic Range Processors - Audio Equalizers - Digital Audio Effects - Digital Oscillators and DTMF Receivers - Multirate Signal Processing Chapter 8 - Design of FIR Filters Scope and Objectives / Ideal Filters / The Design Process / Symmetric Sequences and Linear Phase / Window-Based Design / Half-Band FIR Filters / FIR Filter Design by Frequency Sampling / Design of Optimal Linear-Phase FIR Filters / Application: Multistage Interpolation and Decimation / Maximally Flat FIR Filters / FIR Differentiators and Hilbert Transformers / Least Squares and Adaptive Signal Processing Chapter 9 - Design of IIR Filters Scope and Objectives / Introduction / IIR Filter Design / Response Matching / The Matched z-Transform / Mappings from Discrete Algorithms / The Bilinear Transformation / Spectral Transformations for IIR Filters / Design Recipe for IIR Filters Chapter 10 - The Discrete Fourier Transform and Its Applications Scope and Objectives / Introduction / The DFT / Properties of the DFT / Some Practical Guidelines / The DTFT and the DFT / The DFT of Periodic Signals and the DFS / The DFT of Nonperiodic Signals / Spectral Smoothing by Time Windows / Applications in Signal Processing / Spectrum Estimation / The Cepstrum and Homomorphic Filtering / Optimal Filtering / Matrix Formulation of the DFT and IDFT / The FFT / Why Equal Lengths for the DFT and IDFT? Chapter 11 - MATLAB Examples Introduction / Examples of MATLAB Code Appendix A - Useful Concepts from Analog Theory Scope and Objectives / Signals / System Analysis / Convolution / The Laplace Transform / The Fourier Transform / Bode Plots / Classical Analog Filter Design References Index

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