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2. Encoder (position) - Wikipedia

   en.wikipedia.org/wiki/Encoder_(position)

   An encoder is a sensor which turns a position into an electronic signal. There are two forms: Absolute encoders give an absolute position value. Incremental encoders count movement rather than position. With detection of a datum position and the use of a counter, an absolute position may be derived.

3. 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 ...

4. Rotary encoder - Wikipedia

   en.wikipedia.org/wiki/Rotary_encoder

   An absolute encoder maintains position information when power is removed from the encoder. [5] The position of the encoder is available immediately on applying power. The relationship between the encoder value and the physical position of the controlled machinery is set at assembly; the system does not need to return to a calibration point to maintain position accuracy.

5. 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 ...

6. 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. The encoder can be either incremental or absolute.

7. Variational autoencoder - Wikipedia

   en.wikipedia.org/wiki/Variational_autoencoder

   These q-distributions are normally parameterized for each individual data point in a separate optimization process. However, variational autoencoders use a neural network as an amortized approach to jointly optimize across data points. In that way, the same parameters are reused for multiple data points, which can result in massive memory savings.