Algorithmic Information Theory Mathematics of Digital Information Processing /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Seibt, Peter (Autor)
Autor Corporativo: SpringerLink (Online service)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2006.
Edición:1st ed. 2006.
Colección:Signals and Communication Technology,
Temas:
Algorithms.
Engineering mathematics.
Engineering-Data processing.
Dynamics.
Nonlinear theories.
Coding theory.
Information theory.
Signal processing.
Computer science-Mathematics.
Discrete mathematics.
Mathematical and Computational Engineering Applications.
Applied Dynamical Systems.
Coding and Information Theory.
Signal, Speech and Image Processing .
Discrete Mathematics in Computer Science.
Acceso en línea:Texto Completo
Descripción
Sumario: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.
Descripción Física:VI, 443 p. online resource.
ISBN:9783540332190
ISSN:1860-4870

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