Walker (mathematics, University of Wisconsin-Eau Claire) guides readers through the main ideas of wavelet analysis in order to develop a thorough appreciation of wavelet applications. Relying on elementary algebra and a small amount of calculus, he demonstrates how the underlying ideas behind wavelet analysis can be applied to solve significant problems in audio and image processing, biology, and medicine. Nearly twice as long as the first edition, this second edition of the book provides 104 worked examples and 222 exercises, two sections on bioorthogonal wavelets, a mini-course on image compression, expanded material on image denoising, an introduction to time frequency analysis, and expanded suggestions for research projects. A companion Web site, new for this edition, includes downloadable software, sound and image files, and links to important papers in the field. Annotation ©2008 Book News, Inc., Portland, OR (booknews.com)