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Library,Documentation and Information Science Division

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Algorithmic Information Theory [electronic resource] : Mathematics of Digital Information / by Peter Seibt.

By: Contributor(s): Material type: TextTextSeries: Signals and Communication TechnologyPublisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006Description: VI, 443 p. online resourceContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9783540332190
Subject(s): Additional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification:
  • 518.1 23
LOC classification:
  • QA76.9.A43
Online resources:
Contents:
Data Compaction -- Cryptography -- Information Theory and Signal Theory: Sampling and Reconstruction -- Error Control Codes -- Data Reduction: Lossy Compression.
In: Springer eBooksSummary: 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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Holdings
Item type Current library Call number Status Date due Barcode Item holds
E-BOOKS ISI Library, Kolkata Not for loan EB1257
Total holds: 0

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.

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