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  2. Linear code - Wikipedia

    en.wikipedia.org/wiki/Linear_code

    The codewords in a linear block code are blocks of symbols that are encoded using more symbols than the original value to be sent. [2] A linear code of length n transmits blocks containing n symbols. For example, the [7,4,3] Hamming code is a linear binary code which represents 4-bit messages using 7-bit codewords. Two distinct codewords differ ...

  3. Linear encoder - Wikipedia

    en.wikipedia.org/wiki/Linear_encoder

    A linear encoder is a sensor, transducer or readhead paired with a scale that encodes position. The sensor reads the scale in order to convert the encoded position into an analog or digital signal , which can then be decoded into position by a digital readout (DRO) or motion controller.

  4. Fountain code - Wikipedia

    en.wikipedia.org/wiki/Fountain_code

    The requirements of erasure code design for data storage, particularly for distributed storage applications, might be quite different relative to communication or data streaming scenarios. One of the requirements of coding for data storage systems is the systematic form, i.e., the original message symbols are part of the coded symbols.

  5. Low-density parity-check code - Wikipedia

    en.wikipedia.org/wiki/Low-density_parity-check_code

    As with other codes, the maximum likelihood decoding of an LDPC code on the binary symmetric channel is an NP-complete problem, [24] shown by reduction from 3-dimensional matching. So assuming P != NP , which is widely believed, then performing optimal decoding for an arbitrary code of any useful size is not practical.

  6. Line code - Wikipedia

    en.wikipedia.org/wiki/Line_code

    The receiver is designed so that either code word of the pair decodes to the same data bits. Examples include alternate mark inversion, Differential Manchester encoding, coded mark inversion and Miller encoding. differential coding each symbol relative to the previous symbol. Examples include MLT-3 encoding and NRZI.

  7. Data compression - Wikipedia

    en.wikipedia.org/wiki/Data_compression

    Examples of software that can perform AI-powered image compression include OpenCV, TensorFlow, MATLAB's Image Processing Toolbox (IPT) and High-Fidelity Generative Image Compression. [ 25 ] In unsupervised machine learning , k-means clustering can be utilized to compress data by grouping similar data points into clusters.

  8. Burrows–Wheeler transform - Wikipedia

    en.wikipedia.org/wiki/Burrows–Wheeler_transform

    For example, [15] Showed a compression pipeline based on the application of the Burrows–Wheeler transformation followed by inversion, run-length, and arithmetic encoders. The pipeline developed in this case is known as Burrows–Wheeler transform with an inversion encoder (BWIC).

  9. Linear timecode - Wikipedia

    en.wikipedia.org/wiki/Linear_timecode

    Linear timecode waveform as displayed in Audacity with 80 bit data frame highlighted. The basic format is an 80-bit code that gives the time of day to the second, and the frame number within the second. Values are stored in binary-coded decimal, least significant bit first. There are thirty-two bits of user data, usually used for a reel number ...