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2. Rotary encoder - Wikipedia

   en.wikipedia.org/wiki/Rotary_encoder

   Rotary encoder. A Gray code absolute rotary encoder with 13 tracks. At the top, the housing, interrupter disk, and light source can be seen; at the bottom the sensing element and support components. A rotary encoder, also called a shaft encoder, is an electro-mechanical device that converts the angular position or motion of a shaft or axle to ...

3. Incremental encoder - Wikipedia

   en.wikipedia.org/wiki/Incremental_encoder

   An incremental encoder is a linear or rotary electromechanical device that has two output signals, A and B, which issue pulses when the device is moved. [ 1] Together, the A and B signals indicate both the occurrence of and direction of movement. Many incremental encoders have an additional output signal, typically designated index[ 2] or Z ...

4. 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.

5. Encoder (digital) - Wikipedia

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

   An encoder (or "simple encoder") in digital electronics is a one-hot to binary converter. That is, if there are 2 n input lines, and at most only one of them will ever be high, the binary code of this 'hot' line is produced on the n -bit output lines. A binary encoder is the dual of a binary decoder . If the input circuit can guarantee at most ...

6. Priority encoder - Wikipedia

   en.wikipedia.org/wiki/Priority_encoder

   A priority encoder is a circuit or algorithm that compresses multiple binary inputs into a smaller number of outputs, similar to a simple encoder. The output of a priority encoder is the binary representation of the index of the most significant activated line. In contrast to the simple encoder, if two or more inputs to the priority encoder are ...

7. Autoencoder - Wikipedia

   en.wikipedia.org/wiki/Autoencoder

   t. e. An autoencoder is a type of artificial neural network used to learn efficient codings of unlabeled data ( unsupervised learning ). [1] [2] 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.