Algorithmic Information Theory [electronic resource] :Mathematics of Digital Information / by Peter Seibt.
by Seibt, Peter [author.]; SpringerLink (Online service).
Material type:
BookSeries: Signals and Communication Technology: Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg, 2006.Description: VI, 443 p. online resource.ISBN: 9783540332190.Subject(s): Mathematics | Coding theory | Computational complexity | Algorithms | Physics | Engineering mathematics | Engineering | Mathematics | Algorithms | Appl.Mathematics/Computational Methods of Engineering | Complexity | Coding and Information Theory | Signal, Image and Speech Processing | Discrete Mathematics in Computer ScienceDDC classification: 518.1 Online resources: Click here to access online | Item type | Current location | Call number | Status | Date due | Barcode |
|---|---|---|---|---|---|
| MAIN LIBRARY | QA76.9.A43 (Browse shelf) | Available |
Browsing MAIN LIBRARY Shelves Close shelf browser
| QA76.9.A43 Algorithmic Applications in Management | QA76.9.A43 LATIN 2006: Theoretical Informatics | QA76.9.A43 Theoretical Computer Science | QA76.9.A43 Algorithmic Information Theory | QA76.9.A43 Research in Computational Molecular Biology | QA76.9.A43 Advances in Grid and Pervasive Computing | QA76.9.A43 Subspace, Latent Structure and Feature Selection |
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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