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OverviewThis book addresses the most efficient methods of pattern analysis using wavelet decomposition. Readers will learn to analyze data in order to emphasize the differences between closely related patterns and then categorize them in a way that is useful to system users. Full Product DetailsAuthor: Michael Kirby (Colorado State University)Publisher: John Wiley & Sons Inc Imprint: Wiley-Interscience Dimensions: Width: 16.40cm , Height: 2.30cm , Length: 24.50cm Weight: 0.680kg ISBN: 9780471239291ISBN 10: 0471239291 Pages: 384 Publication Date: 29 January 2001 Audience: College/higher education , Professional and scholarly , Undergraduate , Postgraduate, Research & Scholarly Format: Hardback Publisher's Status: Active Availability: Out of stock ![]() The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available. Table of ContentsReviews...provides a valuable summary of data reduction. (Technometrics, May 2002) ...effectively describes and summarizes an emerging new field, namely, scientific data modeling and analysis. (Mathematical Reviews, 2003h) Author InformationMICHAEL KIRBY is a professor in the Department of Mathematics at Colorado State University in Fort Collins, Colorado. He has worked in the field of data reduction for well over a decade. Tab Content 6Author Website:Countries AvailableAll regions |