Ebook Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology), by Peter Seibt
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Algorithmic Information Theory: Mathematics of Digital Information Processing (Signals and Communication Technology), by Peter Seibt
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Algorithmic Information Theory treats the mathematics of many important areas in digital information processing. It has been written as a read-and-learn book on concrete mathematics, for teachers, students and practitioners in electronic engineering, computer science and mathematics. The presentation is dense, and the examples and exercises are numerous. It is based on lectures on information technology (Data Compaction, Cryptography, Polynomial Coding) for engineers.
- Sales Rank: #14197530 in Books
- Published on: 2010-11-30
- Released on: 2010-11-30
- Original language: English
- Number of items: 1
- Dimensions: 9.00" h x 1.02" w x 6.00" l, 1.38 pounds
- Binding: Paperback
- 443 pages
Review
From the reviews:
"This book, consisting of five chapters, deals with information processing. … The format of chapters … is very good. … It is very readable and provides a valuable source about information processing. This is a good book on the subject … . it is a welcome addition." (Arjun K. Gupta, Zentralblatt MATH, Vol. 1136 (14), 2008)
From the Back Cover
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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