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  2. Lempel–Ziv–Markov chain algorithm - Wikipedia

    en.wikipedia.org/wiki/Lempel–Ziv–Markov_chain...

    40 indicates a 4 GB − 1 dictionary size; Even values less than 40 indicate a 2 v/2 + 12 bytes dictionary size; Odd values less than 40 indicate a 3×2 (v − 1)/2 + 11 bytes dictionary size; Values higher than 40 are invalid; LZMA2 data consists of packets starting with a control byte, with the following values: 0 denotes the end of the file

  3. Orders of magnitude (data) - Wikipedia

    en.wikipedia.org/wiki/Orders_of_magnitude_(data)

    36 bits – size of word on Univac 1100-series computers and Digital Equipment Corporation's PDP-10 56 bits (7 bytes) – cipher strength of the DES encryption standard 2 6: 64 bits (8 bytes) – size of an integer capable of holding 18,446,744,073,709,551,616 different values – size of an IEEE 754 double-precision floating point number

  4. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    In fact, if we consider files of length N, if all files were equally probable, then for any lossless compression that reduces the size of some file, the expected length of a compressed file (averaged over all possible files of length N) must necessarily be greater than N. [citation needed] So if we know nothing about the properties of the data ...

  5. Consistent Overhead Byte Stuffing - Wikipedia

    en.wikipedia.org/wiki/Consistent_Overhead_Byte...

    In the examples, all bytes are expressed as hexadecimal values, and encoded data is shown with text formatting to illustrate various features: Bold indicates a data byte which has not been altered by encoding. All non-zero data bytes remain unaltered. Green indicates a zero data byte that was altered by encoding. All zero data bytes are ...

  6. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    DCT is the basis for JPEG, a lossy compression format which was introduced by the Joint Photographic Experts Group (JPEG) in 1992. [35] JPEG greatly reduces the amount of data required to represent an image at the cost of a relatively small reduction in image quality and has become the most widely used image file format.

  7. LZ4 (compression algorithm) - Wikipedia

    en.wikipedia.org/wiki/LZ4_(compression_algorithm)

    LZ4 only uses a dictionary-matching stage (LZ77), and unlike other common compression algorithms does not combine it with an entropy coding stage (e.g. Huffman coding in DEFLATE). [4] [5] The LZ4 algorithm represents the data as a series of sequences. Each sequence begins with a one-byte token that is broken into two 4-bit fields.

  8. bzip2 - Wikipedia

    en.wikipedia.org/wiki/Bzip2

    bzip2 is a free and open-source file compression program that uses the Burrows–Wheeler algorithm.It only compresses single files and is not a file archiver.It relies on separate external utilities such as tar for tasks such as handling multiple files, and other tools for encryption, and archive splitting.

  9. Type–length–value - Wikipedia

    en.wikipedia.org/wiki/Type–length–value

    The type and length are fixed in size (typically 1–4 bytes), and the value field is of variable size. These fields are used as follows: Type A binary code, often simply alphanumeric, which indicates the kind of field that this part of the message represents; Length The size of the value field (typically in bytes); Value

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