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Introduction to Information Theory and Data Compression, Second Edition (Applied Mathematics) - Hardcover
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Inhaltsangabe
This book provides a basic introduction to both information theory and data compression. Although the two topics are related, this unique treatment allows readers to explore either topic independently. The authors' presentation of information theory is pitched at an elementary level, making the book less daunting than most other texts. The second edition includes a detailed history of information theory that provides a solid background for the quantification of the topic as developed by Claude Shannon. It also covers the information rate of a code and the trade-off between error correction and rate of information transmission, probabilistic finite state source automata, and wavelet methods.
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Reseña del editor
This book provides a basic introduction to both information theory and data compression. Although the two topics are related, this unique treatment allows readers to explore either topic independently. The authors' presentation of information theory is pitched at an elementary level, making the book less daunting than most other texts. The second edition includes a detailed history of information theory that provides a solid background for the quantification of the topic as developed by Claude Shannon. It also covers the information rate of a code and the trade-off between error correction and rate of information transmission, probabilistic finite state source automata, and wavelet methods.
Reseña del editor
This book evaluates the basics of information theory and data compression. Two separate but related sections present the topics. The information theory section provides a logical foundation for the subsequent presentation of data compression from a practical, engineering perspective, explaining each technique and its application. This section covers lossless compression techniques as well as introduces lossy compression and general procedures for using various transforms.
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