Digital Signal Processing Using MATLAB and Wavelets | Date: 05 May 2011, 15:04
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Note: CD-ROM is not included.
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 MicrosoftAR PowerPoint slides.
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
Reviews
Summary: A real helper - just when you need it
Rating: 5
Digital signal processing is a tough area of study for two reasons. First, there's lots of math involved and you need more than just knowledge of it - you need a certain degree of intuition and insight in order to learn DSP successfully. On the other hand, mathematical proofs are not nearly enough for good implementation of the algorithms.
Because of how computers work, different ways of computing things give us different performance ratings. The simplest example is using FFT instead of DFT. The concept is the same, but the amount of computational power it saves is unprecedented. Therefore, you need to know not only how to derive a few methods for calculating different filter responses, but also how to implement them, so they take the least mathematical operations. Once you start using MATLAB for serious and large-scale applications, it becomes very obvious.
If you're the practical type (as opposed to a purely theoretical type) and want (or need) to know how to make stuff not just work, but also work well, this book will get you started in no time!
Summary: Great introduction to MatLab and DSP
Rating: 5
This book is very readable and is chock-full of examples, sample code and explanations of DSP concepts. I think the best way to read it is to start with Chapters 1-2, which give an introduction to DSP and an overview of MatLab. Then, immediately follow this with Chapter 10, which covers applications. Subsequent chapters can be read as needed.
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