Description
This 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.
About the Author
Reviews
"...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)
Book Information
ISBN 9780471239291
Author Michael Kirby
Format Hardback
Page Count 384
Imprint Wiley-Interscience
Publisher John Wiley & Sons Inc
Weight(grams) 680g
Dimensions(mm) 245mm * 164mm * 23mm
About the Author
MICHAEL 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.
Reviews
"...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)
Book Information
ISBN 9780471239291
Author Michael Kirby
Format Hardback
Page Count 384
Imprint Wiley-Interscience
Publisher John Wiley & Sons Inc
Weight(grams) 680g
Dimensions(mm) 245mm * 164mm * 23mm
