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2. Differential pulse-code modulation - Wikipedia

   en.wikipedia.org/wiki/Differential_pulse-code...

   If the input is a continuous-time analog signal, it needs to be sampled first so that a discrete-time signal is the input to the DPCM encoder. Option 1: take the values of two consecutive samples; if they are analog samples, quantize them; calculate the difference between the first one and the next; the output is the difference.

3. Dictionary coder - Wikipedia

   en.wikipedia.org/wiki/Dictionary_coder

   A dictionary coder, also sometimes known as a substitution coder, is a class of lossless data compression algorithms which operate by searching for matches between the text to be compressed and a set of strings contained in a data structure (called the 'dictionary') maintained by the encoder. When the encoder finds such a match, it substitutes ...

4. 8b/10b encoding - Wikipedia

   en.wikipedia.org/wiki/8b/10b_encoding

   These code groups are concatenated together to form the 10-bit symbol that is transmitted on the wire. The data symbols are often referred to as D.x.y where x ranges over 0–31 and y over 0–7. Standards using the 8b/10b encoding also define up to 12 special symbols (or control characters) that can be sent in place of a data symbol. They are ...

5. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Some codecs will analyze a longer segment, called a frame, of the data to optimize efficiency, and then code it in a manner that requires a larger segment of data at one time to decode. The inherent latency of the coding algorithm can be critical; for example, when there is a two-way transmission of data, such as with a telephone conversation ...

6. Autoencoder - Wikipedia

   en.wikipedia.org/wiki/Autoencoder

   An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data (unsupervised learning).An autoencoder learns two functions: an encoding function that transforms the input data, and a decoding function that recreates the input data from the encoded representation.

7. Run-length encoding - Wikipedia

   en.wikipedia.org/wiki/Run-length_encoding

   Run-length encoding (RLE) is a form of lossless data compression in which runs of data (consecutive occurrences of the same data value) are stored as a single occurrence of that data value and a count of its consecutive occurrences, rather than as the original run. As an imaginary example of the concept, when encoding an image built up from ...