Data compression - CompWisdom
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Topic: Data compression


  
 Data compression - Wikipedia, the free encyclopedia
In computer science and information theory, data compression or source coding is the process of encoding information using fewer bits (or other information-bearing units) than an unencoded representation would use through use of specific encoding schemes.
One popular instance of compression that many computer users are familiar with is the ZIP file format, which, as well as providing compression, acts as an archiver, storing many files in a single output file.
One very simple means of compression, for example, is run-length encoding, wherein large runs of consecutive identical data values are replaced by a simple code with the data value and length of the run.
http://en.wikipedia.org/wiki/Data_compression   (1413 words)

  
 Lossy data compression: Facts and details from Encyclopedia Topic
In computer science, data compression or source coding is the process of encoding information using fewer bits (or other information-bearing units)...
(data compression or source coding is the process of encoding information using fewer bits (or other information-bearing units)...
In computing, jpeg is a commonly used standard method of compressing photographic images....
http://www.absoluteastronomy.com/encyclopedia/l/lo/lossy_data_compression.htm   (1608 words)

  
 data compression - Hutchinson encyclopedia article about data compression
In computing, techniques for reducing the amount of storage needed for a given amount of data.
Compressed files take up less storage space and can be transmitted across the Internet much faster.
All content on this website, including dictionary, thesaurus, literature, geography, and other reference data is for informational purposes only.
http://encyclopedia.farlex.com/Data+compression   (242 words)

  
 Encyclopedia at AudioXchange: Audio data compression - Online Store & Product Reviews
But worse, even computer generated sounds can contain very complicated waveforms that present a challenge to many compression algorithms.
Some modern algorithms use wavelets, but it is still not certain if such algorithms will work significantly better than those based on MDCT because of the inherent periodicity of audio signals, which wavelets seem not to handle well.
More advanced codecs such as Shorten (SHN) and FLAC use linear prediction to come up with an optimal whitening filter.
http://www.audioxchange.com/encyclopedia/Audio_compression.shtml   (604 words)

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