Cover image for Digital signal processing using MATLAB
Title:
Digital signal processing using MATLAB
Author:
Ingle, Vinay K.
Personal Author:
Publication Information:
Pacific Grove, CA : Brooks/Cole, [2000]

©2000
Physical Description:
xiv, 418 pages : illustrations ; 24 cm.
Language:
English
Title Subject:
Added Author:
ISBN:
9780534371746
Format :
Book

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TK5102.9 .I534 2000 Adult Non-Fiction Non-Fiction Area
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Summary

Summary

This supplement to any standard DSP text is one of the first books to successfully integrate the use of MATLAB in the study of DSP concepts. In this book, MATLAB is used as a computing tool to explore traditional DSP topics, and solve problems to gain insight. This greatly expands the range and complexity of problems that students can effectively study in the course. Since DSP applications are primarily algorithms implemented on a DSP processor or software, a fair amount of programming is required. Using interactive software such as MATLAB makes it possible to place more emphasis on learning new and difficult concepts than on programming algorithms. Interesting practical examples are discussed and useful problems are explored. This updated printing revises the scripts in the book, available functions, and m-files (available for downloading from the Brooks/Cole Bookware Companion Resource Series(tm) Center Web site) to MATLAB V5 (created with 5.3).


Table of Contents

Preface
1 Introduction Overview of DSP
A Few Words about MATLAB"
2 Discrete-Time Signals and Systems Discrete-time Signals
Discrete Systems
Convolution
Difference Equations
Problems
3 The Discrete-Time Fourier Analysis
The Discrete-time Fourier Transform (Dtft)
The Properties of the DTFT
The Frequency Domain Representation of LTI Systems
Sampling and Reconstruction of Analog Signals
Problems
4 The Z-Transform
The Bilateral z-Transform
Important Properties of the z-Transform
Inversion of the z-Transform
System Representation in the z-Domain
Solutions of the Difference Equations
Problems
5 The Discrete Fourier Transform
The Discrete Fourier Series
Sampling and Reconstruction in the z-Domain
The Discrete Fourier Transform
Properties of the Discrete Fourier Transform
Linear Convolution Using the DFT
The Fast Fourier Transform
Problems
6 Digital Filter Structures Basic Elements
Iir Filter Structures
Fir Filter Structures
Lattice Filter Structures
Problems
7 Fir Filter Design Preliminaries
Properties of Linear-Phase FIR Filters
Window Design Techniques
Frequency Sampling Design Techniques
Optimal Equiripple Design Technique
Problems
8 Iir Filter Design Some Preliminaries
Characteristics of Prototype Analog Filters
Analog-to-Digital Filter Transformations
Lowpass Filter Design Using MATLAB"
Frequency-band Transformations
Comparison of Fir vs. Iir Filters
Problems
9 Applications in Adaptive Filtering Lms Algorithm for Coefficient Adjustment
System Identification or System Modeling
Suppression of Narrowband Interference in a Wideband Signal
Adaptive Line Enhancement
Adaptive Channel Equalization
Summary
10 Applications in Communications Pulse-Code Modulation
Differential Pcm (Dpcm)
Adaptive Pcm and Dpcm (Adpcm)
Delta Modulation (Dm)
Linear Predictive Coding (Lpc) of Speech
Dual-tone Multifrequency (Dtmf) Signals
Binary Digital Communications
Spread-Spectrum Communications
Summary
Bibliography
Index