Introduction to Orthogonal Transforms: With Applications in Data Processing and Analysis

Introduction to Orthogonal Transforms: With Applications in Data Processing and Analysis book cover

Introduction to Orthogonal Transforms: With Applications in Data Processing and Analysis

Author(s): Ruye Wang (Author)

  • Publisher: Cambridge University Press
  • Publication Date: April 9, 2012
  • Edition: Illustrated
  • Language: English
  • Print length: 590 pages
  • ISBN-10: 052179725X
  • ISBN-13: 9780521797252

Book Description

A systematic, unified treatment of orthogonal transform methods for signal processing, data analysis and communications, this book guides the reader from mathematical theory to problem solving in practice. It examines each transform method in depth, emphasizing the common mathematical principles and essential properties of each method in terms of signal decorrelation and energy compaction. The different forms of Fourier transform, as well as the Laplace, Z-, Walsh–Hadamard, Slant, Haar, Karhunen–Loève and wavelet transforms, are all covered, with discussion of how each transform method can be applied to real-world experimental problems. Numerous practical examples and end-of-chapter problems, supported by online Matlab and C code and an instructor-only solutions manual, make this an ideal resource for students and practitioners alike.

Editorial Reviews

Book Description

A systematic, unified treatment of orthogonal transform methods that guides the reader from mathematical theory to problem solving in practice.

About the Author

Ruye Wang is a Professor in the Engineering Department at Harvey Mudd College. Previously a Principal Investigator at the Jet Propulsion Laboratory, NASA, his research interests include image processing, computer vision, machine learning and remote sensing.

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