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  2. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points.

  3. HTTP compression - Wikipedia

    en.wikipedia.org/wiki/HTTP_compression

    HTTP compression is a capability that can be built into web servers and web clients to improve transfer speed and bandwidth utilization. [1]HTTP data is compressed before it is sent from the server: compliant browsers will announce what methods are supported to the server before downloading the correct format; browsers that do not support compliant compression method will download uncompressed ...

  4. Data compression ratio - Wikipedia

    en.wikipedia.org/wiki/Data_compression_ratio

    Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data. Compression algorithms which provide higher ratios either incur very large overheads or work only for specific data ...

  5. OSI model - Wikipedia

    en.wikipedia.org/wiki/OSI_model

    The presentation layer handles protocol conversion, data encryption, data decryption, data compression, data decompression, incompatibility of data representation between operating systems, and graphic commands. The presentation layer transforms data into the form that the application layer accepts, to be sent across a network.

  6. Bandwidth (computing) - Wikipedia

    en.wikipedia.org/wiki/Bandwidth_(computing)

    The most widely used data compression technique for media bandwidth reduction is the discrete cosine transform (DCT), which was first proposed by Nasir Ahmed in the early 1970s. [8] DCT compression significantly reduces the amount of memory and bandwidth required for digital signals, capable of achieving a data compression ratio of up to 100:1 ...

  7. Lossless compression - Wikipedia

    en.wikipedia.org/wiki/Lossless_compression

    Most lossless compression programs do two things in sequence: the first step generates a statistical model for the input data, and the second step uses this model to map input data to bit sequences in such a way that "probable" (i.e. frequently encountered) data will produce shorter output than "improbable" data.

  8. Van Jacobson TCP/IP Header Compression - Wikipedia

    en.wikipedia.org/.../IP_Header_Compression

    Van Jacobson compression reduces the normal 40 byte TCP/IP packet headers down to 3–4 bytes for the average case; it does this by saving the state of TCP connections at both ends of a link, and only sending the differences in the header fields that change.

  9. Constant bitrate - Wikipedia

    en.wikipedia.org/wiki/Constant_bitrate

    Constant bitrate (CBR) is a term used in telecommunications, relating to the quality of service.Compare with variable bitrate. [1]When referring to codecs, constant bit rate encoding means that the rate at which a codec's output data should be consumed is constant.