Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 383)
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Table of contents (23 chapters)
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Front Matter
Keywords
About this book
The 2-dimensional Hadamard transform is discussed in terms of a 1- dimensional transform. The applications presented touch on statistics, error correction coding theory, communications signaling, Boolean function analysis and synthesis, image processing, sequence theory (maximal length binary sequences, composite sequences, and Thue-Morse sequences) and signal representation. An interesting application of the Hadamard transform to images is the Naturalness Preserving Transform (NPT), which is presented. The NPT provides a way to encode an image that can be reconstructed when it is transmitted through a noisy or an unfriendly channel. The potential applications of the Hadamard transform are wide and the book samples many of the important concepts among a vast field of applications of the transform.
Hadamard Matrix Analysis and Synthesis: With Applications to Communications and Signal/Image Processing serves as an excellent reference source and may be used as a text for advanced courses on the topic.
Authors and Affiliations
Bibliographic Information
Book Title: Hadamard Matrix Analysis and Synthesis
Book Subtitle: With Applications to Communications and Signal/Image Processing
Authors: R. K. Rao Yarlagadda, John E. Hershey
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-6313-6
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1997
Hardcover ISBN: 978-0-7923-9826-4Published: 30 November 1996
Softcover ISBN: 978-1-4613-7898-3Published: 10 October 2012
eBook ISBN: 978-1-4615-6313-6Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: X, 123
Topics: Signal, Image and Speech Processing, Electrical Engineering, Discrete Mathematics in Computer Science