2012. 2nd Edition. Paperback. Now in an updated second edition, this easily accessible book presents recent advances in digital signal processing (DSP) that simplify or increase the computational speed of common signal processing operations. The material is practical, real-world, with clever DSP tricks of the trade not covered in conventional DSP textbooks. Editor(s): Lyons, Richard G. Num Pages: 496 pages, Illustrations. BIC Classification: TJK. Category: (P) Professional & Vocational. Dimension: 156 x 233 x 26. Weight in Grams: 678. . . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Streamlining Digital Signal Processing: A Tricks of the Trade Guidebook
Publisher: John Wiley and Sons Ltd
Publication Date: 2012
Language: English
ISBN 10: 1118278380
ISBN 13: 9781118278383
Binding: Soft cover
Edition: 2nd Edition
Condition: New

About this title

Synopsis

This book presents recent advances in DSP to simplify, or increase the computational speed of, common signal processing operations. The topics describe clever DSP tricks of the trade not covered in conventional DSP textbooks. This material is practical, real-world, DSP tips and tricks as opposed to the traditional highly-specialized, math-intensive, research subjects directed at industry researchers and university professors. This book goes well beyond the standard DSP fundamentals textbook and presents new, but tried-and-true, clever implementations of digital filter design, spectrum analysis, signal generation, high-speed function approximation, and various other DSP functions.

About the Author

RICHARD G. LYONS is a Contracting Systems Engineer and lecturer with Besser Associates in Mt. View, California, and a former lead hardware engineer for both the National Security Agency (NSA) and TRW Inc. (now Northrop Grumman Corp.) He is an Associate Editor for IEEE Signal Processing magazine and a member of the IEEE and Eta Kappa Nu honor society. Mr. Lyons has written over thirty conference papers on DSP topics and received the 2007 IEEE Signal Processing magazine Best Column Award.

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