Designed for upper division engineering and computer science students as well as practising engineers, "Digital Signal Processing Using MATLAB and Wavelet" techniques provide the latest applications of signal processing. Over 100 MATLAB examples and wavelet techniques provide the latest applications of DSP, including image processing, games, filters, transforms, 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 for each chapter, and the figures contained in the book. It contains over 100 short examples in MATLAB used throughout the book. It includes an entire chapter on the wavelet transform. It is designed for the reader who does not have extensive math and programming experience. It is accompanied by CD-ROM containing MATLAB examples, source code, projects, and figures from the book. It contains modern applications of DSP and MATLAB project ideas. - from Amzon