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  2. LZ77 and LZ78 - Wikipedia

    en.wikipedia.org/wiki/LZ77_and_LZ78

    LZ77 and LZ78 are the two lossless data compression algorithms published in papers by Abraham Lempel and Jacob Ziv in 1977 [ 1] and 1978. [ 2] They are also known as LZ1 and LZ2 respectively. [ 3] These two algorithms form the basis for many variations including LZW, LZSS, LZMA and others. Besides their academic influence, these algorithms ...

  3. Lempel–Ziv–Markov chain algorithm - Wikipedia

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

    The Lempel–Ziv–Markov chain algorithm ( LZMA) is an algorithm used to perform lossless data compression. It has been under development since either 1996 or 1998 by Igor Pavlov [ 1] and was first used in the 7z format of the 7-Zip archiver. This algorithm uses a dictionary compression scheme somewhat similar to the LZ77 algorithm published ...

  4. Lempel–Ziv–Welch - Wikipedia

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

    Lempel–Ziv–Welch. Lempel–Ziv–Welch ( LZW) is a universal lossless data compression algorithm created by Abraham Lempel, Jacob Ziv, and Terry Welch. It was published by Welch in 1984 as an improved implementation of the LZ78 algorithm published by Lempel and Ziv in 1978. The algorithm is simple to implement and has the potential for very ...

  5. XZ Utils - Wikipedia

    en.wikipedia.org/wiki/XZ_Utils

    XZ Utils can compress and decompress the xz and lzma file formats. Since the LZMA format has been considered legacy, [2] XZ Utils by default compresses to xz. In most cases, xz achieves higher compression rates than alternatives like gzip and bzip2. Decompression speed is higher than bzip2, but lower than gzip.

  6. 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.

  7. Pulse compression - Wikipedia

    en.wikipedia.org/wiki/Pulse_compression

    Pulse compression is a signal processing technique commonly used by radar, sonar and echography to either increase the range resolution when pulse length is constrained or increase the signal to noise ratio when the peak power and the bandwidth (or equivalently range resolution) of the transmitted signal are constrained.

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