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Can I read Algorithmic Information Theory: Mathematics of Digital Information on EtoBox?
Algorithmic Information Theory: Mathematics of Digital Information by Seibt P. is a nonfiction available to read on EtoBox.
What is Algorithmic Information Theory: Mathematics of Digital Information about?
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.
Who reads Algorithmic Information Theory: Mathematics of Digital Information?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Seibt P.
- Publisher
- Springer Science+Business Media
- Published
- 2006
- Language
- EN
- ISBN
- 9781441939708
- Category
- nonfiction
- Subjects
- Engineering, Mathematics, Computer Science
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