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Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology)

Posted on 2010-04-15




Name:Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology)
ASIN/ISBN:3540332189
Author:Peter Seibt
Publisher:Springer (2006)
Pages:Hardcover, 444 pages
File size:5 Mb
   Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology)


Author: Peter Seibt


Publisher: Springer (2006)


Binding: Hardcover, 444 pages


pricer: $129.00


ISBN-10: 3540332189


editorialreviews

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.




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