Digital Signal Processing Using MATLAB

by Ingle, Vinay K.; Proakis, John G.

• ISBN13: 9780534371746
• ISBN10: 0534371744
• Edition: 1st
• Format: Paperback
• Copyright: 1999-07-11
• Publisher: CL Engineering

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