Algorithmic information theory : Mathematics of digital information processing
- Author
- Peter Seibt
- Publication Year
- 2006
- Publisher
- Springer
- Language
- English
- Document Type
- Book
- Faculty / Subject Heading
- Mathematics and Statistics
- Download Book Read book
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.
Keywords: Mathematics and Statistics / Algebra / Cryptogrphy / Data Compression / Data Reduction / Error Control Codes / Sampling (Signal Theory) / Algorithmic information theory/ Algorithms / Complexity / Information / Information theory
