Digital Signal Processing Using MATLAB,9780534371746

Digital Signal Processing Using MATLAB

by ;
Edition: 1st
ISBN13: 9780534371746
ISBN10: 0534371744
Format: Paperback
Pub. Date: 1999-07-11
Publisher(s): CL Engineering
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List Price: $119.00

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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 second edition includes new homework problems and revises the scripts in the book, available functions, and m-files to MATLAB? V7.

Table of Contents

Preface xi
Introduction
1(6)
Overview of Digital signal Processing
2(3)
A Few Words about MATLAB®
5(2)
Discrete-Time Signals And Systems
7(33)
Discrete-time Signals
7(13)
Discrete Systems
20(2)
Convolution
22(7)
Difference Equations
29(6)
Problems
35(5)
The Discrete-Time Fourier Analysis
40(40)
The Discrete-time Fourier Transform (DTFT)
40(7)
The Properties of the DTFT
47(6)
The Frequency Domain Representation of LTI Systems
53(7)
Sampling and Reconstruction of Analog Signals
60(14)
Problems
74(6)
The z-Transform
80(36)
The Bilateral z-Transform
80(4)
Important Properties of the z-Transform
84(5)
Inversion of the z-Transform
89(6)
System Representation in the z-Domain
95(10)
Solutions of the Difference Equations
105(6)
Problems
111(5)
The Discrete Fourier Transform
116(66)
The Discrete Fourier Series
117(7)
Sampling and Reconstruction in the z-Domain
124(5)
The Discrete Fourier Transform
129(10)
Properties of the Discrete Fourier Transform
139(15)
Linear Convolution using the DFT
154(6)
The Fast Fourier Transform
160(12)
Problems
172(10)
Digital Filter Structures
182(42)
Basic Elements
183(1)
IIR Filter Structures
183(14)
FIR Filter Structures
197(11)
Lattice Filter Structures
208(11)
Problems
219(5)
Fir Filter Design
224(77)
Preliminaries
224(4)
Properties of Linear-phase FIR Filters
228(15)
Window Design Techniques
243(21)
Frequency Sampling Design Techniques
264(13)
Optimal Equiripple Design Technique
277(17)
Problems
294(7)
IIR Filter Design
301(70)
Some Preliminaries
302(3)
Characteristics of Prototype Analog Filters
305(22)
Analog-to-Digital Filter Transformations
327(18)
Lowpass Filter Design Using MATLAB
345(5)
Frequency-band Transformations
350(13)
Comparison of FIR vs. IIR Filters
363(1)
Problems
364(7)
Applications In Adaptive Filtering
371(13)
LMS Algorithm for Coefficient Adjustment
373(3)
System Identification or System Modeling
376(1)
Suppression of Narrowband Interference in a Wideband Signal
377(3)
Adaptive Line Enhancement
380(1)
Adaptive channel Equalization
380(3)
Summary
383(1)
Applications in Communications
384(28)
Pulse-Code Modulation
384(4)
Differential PCM (DPCM)
388(4)
Adaptive PCM and DPCM (ADPCM)
392(4)
Delta Modulation (DM)
396(3)
Linear Predictive Coding (LPC) of Speech
399(4)
Dual-tone Multifrequency (DTMF) Signals
403(5)
Binary Digital Communications
408(1)
Spread-Spectrum Communications
409(2)
Summary
411(1)
Bibliography 412(1)
Index 413

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