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Data Compression
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Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025
Details
In computer science and information theory, data compression or source coding is the process of encoding information using fewer â bits (or other information-bearing units) than an unencoded representation would use, through use of specific encoding schemes. As with any communication, compressed data communication only works when both the sender and receiver of the information understand the encoding scheme. For example, this text makes sense only if the receiver understands that it is intended to be interpreted as characters representing the English language. Similarly, compressed data can only be understood if the decoding method is known by the receiver. Compression is useful because it helps reduce the consumption of expensive resources, such as hard disk space or transmission bandwidth. On the downside, compressed data must be decompressed to be used, and this extra processing may be detrimental to some applications.
Weitere Informationen
- Allgemeine Informationen
- GTIN 09786130214944
- Editor Frederic P. Miller, Agnes F. Vandome, John McBrewster
- Sprache Englisch
- Größe H220mm x B150mm x T16mm
- Jahr 2009
- EAN 9786130214944
- Format Fachbuch
- ISBN 978-613-0-21494-4
- Titel Data Compression
- Untertitel Computer science, Information theory, Bit, Code, Information, Hard disk drive, Bandwidth (computing), Lossy compression, Entropy (information theory), Image compression, Speech coding
- Gewicht 409g
- Herausgeber Alphascript Publishing
- Anzahl Seiten 264
- Genre Informatik
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