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Digital Signal Processing with Matlab

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ISBN-10: 0534371744

ISBN-13: 9780534371746

Edition: 2000

Authors: Vinay K. Ingle, John G. Proakis

List price: $118.95
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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…    
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Book details

List price: $118.95
Copyright year: 2000
Publisher: Course Technology
Publication date: 7/11/1999
Binding: Paperback
Pages: 432
Size: 8.00" wide x 9.50" long x 1.00" tall
Weight: 1.584
Language: English

Vinay K. Ingle is an Associate Professor of Electrical and Computer Engineering at Northeastern University. He received his Ph.D. in electrical and computer engineering from Rensselaer Polytechnic Institute in 1981. He has broad research experience and has taught courses on topics including signal and image processing, stochastic processes, and estimation theory. Professor Ingle is coauthor of the books: DSP Laboratory Using the ADSP-2181 Microprocessor (Prentice-Hall, 1991), Discrete Systems Laboratory (Brooks-Cole, 2000), and Statistical and Adaptive Signal proc-essing (Artech House, 2005).

Preface
Introduction Overview of DSP
A Few Words about MATLAB“
Discrete-Time Signals and Systems Discrete-time Signals
Discrete Systems
Convolution
Difference Equations
Problems
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
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
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
Digital Filter Structures Basic Elements
Iir Filter Structures
Fir Filter Structures
Lattice Filter Structures
Problems
Fir Filter Design Preliminaries
Properties of Linear-Phase FIR Filters
Window Design Techniques
Frequency Sampling Design Techniques
Optimal Equiripple Design Technique
Problems
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
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
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