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Digital Signal Processing Using MATLAB & Wavelets
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Although DSP has long been considered an EE topic, recent developments have also generated significant interest from the computer science community. 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. Over 100 Matlab projects and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, networking, parallel processing, and sound. The book also provides the mathematical processes and techniques needed to ensure an understanding of DSP theory. Designed to be incremental in difficulty, the book will benefit readers who are unfamiliar with complex mathematical topics or those limited in programming experience. Beginning with an introduction to Matlab programming, it moves through filters, sinusoids, sampling, the Fourier transform, the Z transform and other key topics. An entire chapter is dedicated to the discussion of wavelets and their applications. A CD-ROM (platform independent) accompanies the book and contains source code, projects, and Microsoft® PowerPoint slides. Features -Contains over 100 short examples in Matlab used throughout the book -Includes an entire chapter on the wavelet transform -Designed for the reader who does not have extensive math and programming experience -Presents formulas in terms of function calls of unambiguous order and meaning -Contains practical applications of DSP and Matlab -Accompanied by a CD-ROM containing Matlab examples, source code, projects, and PowerPoint slides -Table of Contents 1. Introduction. 2. Matlab 3. Filters. 4. Sinusoids. 5. Sampling. 6. The Fourier Transform. 7. That Crazy Number e 8. The Z Transform 9. The Wavelet Transform 10. Applications. Appendix A. Constants and Variables. Appendix B. Equations. Appendix C. DSP Project Ideas. Appendix D. About the CD. Index. About The Author Michael Weeks is an associate professor at Georgia State University where he teaches courses in Digital Signal Processing. He holds a PhD in computer engineering from University of Louisiana and has authored or co-authored numerous journal and conference papers.
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Infinity Science Press; October 2006
478 pages; ISBN 9781934015896
Read online, or download in secure PDF format
478 pages; ISBN 9781934015896
Read online, or download in secure PDF format
