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Digital signal processing using matlab and wavelets pdf
Over 100 Matlab projects and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound.
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A CD-ROM (platform independent) accompanies the book and contains source code, projects, and Microsoft PowerPoint slides.The reader ocean of games fast should use another text such as Oppenheim's "Discrete Time Signal Processing" to get the theory, and come to this book on how to implement that theory in Matlab.He holds a PhD in computer engineering from University of Louisiana and has authored or co-authored numerous journal and conference papers.Beginning with an introduction to Matlab programming, it moves through filters, sinusoids, sampling, the Fourier transform, the Z transform and other key topics.The one drawback is that the book is older, so it is using Matlab.About the Author Michael Weeks is an associate professor at Georgia State University where he teaches courses in Digital Signal Processing.DSP applications in the consumer market, such as bioinformatics, the MP3 audio format, and mpeg-based cable/satellite television have fueled a desire to understand this technology outside of hardware circles.Designed for upper division engineering and computer science students as well as practicing engineers, Digital Signal Processing Using Matlab and Wavelets emphasizes the practical applications of signal processing.Publisher: Infinity Science Press Publication: 2006, English isbn: Pages: 550 Although DSP has long been considered an EE topic, recent developments have also generated significant interest from the computer science community.
An entire chapter is dedicated to the discussion of wavelets and their applications.
This book does exactly what it purports to do - it teaches the reader how to perform signal processing tasks using Matlab.
It even contains full-blown projects using Matlab on adaptive channel equalization, binary spread spectrum communications, and system identification.
The book also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory.It starts out with signals and systems and moves on to the dtft, robot unicorn attack game the Z Transform, the DFT, digital filter structures including both IIR and FIR design, and finally covers some advanced topics in adaptive signal processing and communications.Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience.Digital, signal, processing using, matlab and, wavelets ".Algorithm Collections for, digital, signal, processing, applications using.Publisher: Infinity Science Press Publication: 2006, English isbn.