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  2. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Thus, a representation that compresses the storage size of a file from 10 MB to 2 MB yields a space saving of 1 - 2/10 = 0.8, often notated as a percentage, 80%. For signals of indefinite size, such as streaming audio and video, the compression ratio is defined in terms of uncompressed and compressed data rates instead of data sizes:

  3. Snappy (compression) - Wikipedia

    en.wikipedia.org/wiki/Snappy_(compression)

    Compression speed is 250 MB/s and decompression speed is 500 MB/s using a single core of a circa 2011 "Westmere" 2.26 GHz Core i7 processor running in 64-bit mode. The compression ratio is 20–100% lower than gzip. [5] Snappy is widely used in Google projects like Bigtable, MapReduce and in compressing data for Google's internal RPC systems.

  4. Zamzar - Wikipedia

    en.wikipedia.org/wiki/Zamzar

    The service supports the conversion of documents, images, audio, video, e-Books, CAD files and compressed file formats. [ 6 ] [ 7 ] Users can type in a URL or upload one or more files (if they are all of the same format) from their computer; Zamzar will then convert the file(s) to another user-specified format, such as an Adobe PDF file to a ...

  5. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    For example, one 640 MB compact disc (CD) holds approximately one hour of uncompressed high fidelity music, less than 2 hours of music compressed losslessly, or 7 hours of music compressed in the MP3 format at a medium bit rate. A digital sound recorder can typically store around 200 hours of clearly intelligible speech in 640 MB. [47]

  6. Word (computer architecture) - Wikipedia

    en.wikipedia.org/wiki/Word_(computer_architecture)

    A word is a fixed-sized datum handled as a unit by the instruction set or the hardware of the processor. The number of bits or digits [a] in a word (the word size, word width, or word length) is an important characteristic of any specific processor design or computer architecture.

  7. Burrows–Wheeler transform - Wikipedia

    en.wikipedia.org/wiki/Burrows–Wheeler_transform

    The Burrows–Wheeler transform (BWT, also called block-sorting compression) rearranges a character string into runs of similar characters. This is useful for compression, since it tends to be easy to compress a string that has runs of repeated characters by techniques such as move-to-front transform and run-length encoding.