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＜電子ブック＞
Algorithmic Information Theory : Mathematics of Digital Information Processing / by Peter Seibt
(Signals and Communication Technology. ISSN:18604870)

版	1st ed. 2006.
出版者	(Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer)
出版年	2006
本文言語	英語
大きさ	VI, 443 p : online resource
著者標目	*Seibt, Peter author SpringerLink (Online service)
件　名	LCSH:Algorithms LCSH:Engineering mathematics LCSH:Engineering -- Data processing  全ての件名で検索 LCSH:Dynamics LCSH:Nonlinear theories LCSH:Coding theory LCSH:Information theory LCSH:Signal processing LCSH:Computer science -- Mathematics  全ての件名で検索 LCSH:Discrete mathematics FREE:Algorithms FREE:Mathematical and Computational Engineering Applications FREE:Applied Dynamical Systems FREE:Coding and Information Theory FREE:Signal, Speech and Image Processing FREE:Discrete Mathematics in Computer Science
一般注記	Data Compaction -- Cryptography -- Information Theory and Signal Theory: Sampling and Reconstruction -- Error Control Codes -- Data Reduction: Lossy Compression This book treats the Mathematics of many important areas in digital information processing. It covers, in a unified presentation, five topics: Data Compression, Cryptography, Sampling (Signal Theory), Error Control Codes, Data Reduction. The thematic choices are practice-oriented. So, the important final part of the book deals with the Discrete Cosine Transform and the Discrete Wavelet Transform, acting in image compression. The presentation is dense, the examples and numerous exercises are concrete. The pedagogic architecture follows increasing mathematical complexity. A read-and-learn book on Concrete Mathematics, for teachers, students and practitioners in Electronic Engineering, Computer Science and Mathematics HTTP:URL=https://doi.org/10.1007/978-3-540-33219-0

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