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Algorithmic Information Theory Mathematics of Digital Information Processing
Título:
Algorithmic Information Theory Mathematics of Digital Information Processing
ISBN:
9783540332190
Autor personal:
Edición:
1st ed. 2006.
PRODUCTION_INFO:
Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Descripción física:
VI, 443 p. online resource.
Serie:
Signals and Communication Technology,
Contenido:
Data Compaction -- Cryptography -- Information Theory and Signal Theory: Sampling and Reconstruction -- Error Control Codes -- Data Reduction: Lossy Compression.
Síntesis:
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.
Autor corporativo añadido:
Idioma:
Inglés