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Compression Algorithms for Real Programmers - Peter Wayner

Compression Algorithms for Real Programmers

(Autor)

Buch | Softcover
240 Seiten
1999
Morgan Kaufmann Publishers In (Verlag)
978-0-12-788774-6 (ISBN)
CHF 79,95 inkl. MwSt
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Describes the basic algorithms and approaches for compressing information so you can create the smallest files possible. This title examines the classic algorithms like Huffman coding, arithmetic compression, and dictionary-based schemes. It also discusses the philosophy of compression to illustrate the underlying trade-offs in the algorithms.
In life, time is money, and on the Internet, the size of data is money. Small programs and small files take less disk space and cost less to send over the Internet. Compression Algorithms for Real Programmers describes the basic algorithms and approaches for compressing information so you can create the smallest files possible. These new algorithms are making it possible for people to take impossibly large audio and video files and compress them enough that they can flow over the Internet.

Peter Wayner is a writer living in Baltimore and is the author of Digital Cash and Agents at Large (both Academic Press). His writings appear in numerous academic journals as well as the pages of more popular forums such as MacWorld and the New York Times. He has taught various computer science courses at Cornell University and Georgetown University.

Preface. Book Notes. Introduction. Statistical Basics. Dictionary Techniques. Arithmetic Compression. Adaptive Compression. Grammar Compression. Programmatic Solutions. Quantization. Wavelet Transforms. JPEG. Video Compression. Audio Compression. Fractal Compression. Steganography. Appendix A: Patents. Appendix B: Bibliography. Index.

Erscheint lt. Verlag 11.10.1999
Reihe/Serie The for Real Programmers Series
Verlagsort San Francisco
Sprache englisch
Gewicht 520 g
Themenwelt Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Software Entwicklung
ISBN-10 0-12-788774-1 / 0127887741
ISBN-13 978-0-12-788774-6 / 9780127887746
Zustand Neuware
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