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VLSI Digital Signal Processing Systems: Design and Implementation / Edition 1
     

VLSI Digital Signal Processing Systems: Design and Implementation / Edition 1

by Keshab K. Parhi
 

ISBN-10: 0471241865

ISBN-13: 9780471241867

Pub. Date: 01/28/1999

Publisher: Wiley

Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing (DSP) and the attendant application-specific integrated circuits (ASICs). As information-age industries constantly reinvent ASIC chips for lower power consumption and

Overview

Digital audio, speech recognition, cable modems, radar, high-definition television-these are but a few of the modern computer and communications applications relying on digital signal processing (DSP) and the attendant application-specific integrated circuits (ASICs). As information-age industries constantly reinvent ASIC chips for lower power consumption and higher efficiency, there is a growing need for designers who are current and fluent in VLSI design methodologies for DSP.

Enter VLSI Digital Signal Processing Systems-a unique, comprehensive guide to performance optimization techniques in VLSI signal processing. Based on Keshab Parhi's highly respected and popular graduate-level courses, this volume is destined to become the standard text and reference in the field. This text integrates VLSI architecture theory and algorithms, addresses various architectures at the implementation level, and presents several approaches to analysis, estimation, and reduction of power consumption.

Throughout this book, Dr. Parhi explains how to design high-speed, low-area, and low-power VLSI systems for a broad range of DSP applications. He covers pipelining extensively as well as numerous other techniques, from parallel processing to scaling and roundoff noise computation. Readers are shown how to apply all techniques to improve implementations of several DSP algorithms, using both ASICs and off-the-shelf programmable digital signal processors.

The book features hundreds of graphs illustrating the various DSP algorithms, examples based on digital filters and transforms clarifying key concepts, and interesting end-of-chapter exercises that help match techniques with applications. In addition, the abundance of readily available techniques makes this an extremely useful resource for designers of DSP systems in wired, wireless, or multimedia communications. The material can be easily adopted in new courses on either VLSI digital signal processing architectures or high-performance VLSI system design.

An invaluable reference and practical guide to VLSI digital signal processing.

A tremendous source of optimization techniques indispensable in modern VLSI signal processing, VLSI Digital Signal Processing Systems promises to become the standard in the field. It offers a rich training ground for students of VLSI design for digital signal processing and provides immediate access to state-of-the-art, proven techniques for designers of DSP applications-in wired, wireless, or multimedia communications.

Topics include:

• Transformations for high speed using pipelining, retiming, and parallel processing techniques

• Power reduction transformations for supply voltage reduction as well as for strength or capacitance reduction

• Area reduction using folding techniques

• Strategies for arithmetic implementation

• Synchronous, wave, and asynchronous pipelining

• Design of programmable DSPs.

An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Product Details

ISBN-13:
9780471241867
Publisher:
Wiley
Publication date:
01/28/1999
Pages:
808
Product dimensions:
6.35(w) x 9.60(h) x 1.78(d)

Table of Contents

Introduction to Digital Signal Processing Systems.

Iteration Bound.

Pipelining and Parallel Processing.

Retiming.

Unfolding.

Folding.

Systolic Architecture Design.

Fast Convolution.

Algorithmic Strength Reduction in Filters and Transforms.

Pipelined and Parallel Recursive and Adaptive Filters.

Scaling and Roundoff Noise.

Digital Lattice Filter Structures.

Bit-Level Arithmetic Architectures.

Redundant Arithmetic.

Numerical Strength Reduction.

Synchronous, Wave, and Asynchronous Pipelines.

Low-Power Design.

Programmable Digital Signal Processors.

Appendices.

Index.

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