Introduction to Information Theory and Data Compression
indgår i Applied Mathematics serien
- Indbinding:
- Paperback
- Sideantal:
- 384
- Udgivet:
- 25. september 2019
- Udgave:
- 2
- Størrelse:
- 156x234x0 mm.
- Vægt:
- 453 g.
- 8-11 hverdage.
- 27. november 2024
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Ingen binding og kan opsiges når som helst.
- 1 valgfrit digitalt ugeblad
- 20 timers lytning og læsning
- Adgang til 70.000+ titler
- Ingen binding
Abonnementet koster 75 kr./md.
Ingen binding og kan opsiges når som helst.
Beskrivelse af Introduction to Information Theory and Data Compression
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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