> Computer Science > Information Theory > Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology) 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.
Author Peter Seibt Publisher Springer Publication Date 2006-10-05 Binding Hardcover ISBN 3540332189 Number Of Pages 444 Sales Rank 2432640
