Digital Signal Processing: A Practical Guide for Engineers and Scientists / Edition 1

Digital Signal Processing: A Practical Guide for Engineers and Scientists / Edition 1

by Steven Smith, Smith
     
 

ISBN-10: 075067444X

ISBN-13: 9780750674447

Pub. Date: 10/23/2002

Publisher: Elsevier Science

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. Also included on the companion website is technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and

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Overview

In addition to its thorough coverage of DSP design and programming techniques, Smith also covers the operation and usage of DSP chips. He uses Analog Devices' popular DSP chip family as design examples. Also included on the companion website is technical info on DSP processors from the four major manufacturers (Analog Devices, Texas Instruments, Motorola, and Lucent) and other DSP software.

• Covers all major DSP topics
• Full of insider information and shortcuts
• Basic techniques and algorithms explained without complex numbers

Product Details

ISBN-13:
9780750674447
Publisher:
Elsevier Science
Publication date:
10/23/2002
Series:
Demystifying Technology Series
Edition description:
Book and CD ROM
Pages:
672
Sales rank:
830,493
Product dimensions:
7.26(w) x 9.96(h) x 1.15(d)

Table of Contents

The Breadth and Depth of DSP; Statistics, Probability and Noise; ADC and DAC; DSP Software; Linear Systems; Convolution; Properties of Convolution; The Discrete Fourier Transform; Applications of the DFT; Fourier Transform Properties; Fourier Transform Pairs; The Fast Fourier Transform; Continuous Signal Processing; Introduction to Digital Filters; Moving Average Filters; Windowed-Sinc Filters; Custom Filters; FFT Convolution; Recursive Filters; Chebyshev Filters; Filter Comparison; Audio Processing; Image Formation and Display; Linear Image Processing; Special Imaging Techniques; Neural Networks (and more!); Data Compression; Digital Signal Processors; Getting Started with DSPs; Complex Numbers; The Complex Fourier Transform; The Laplace Transform; The z-Transform; Index

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