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2. Encoding/decoding model of communication - Wikipedia

   en.wikipedia.org/wiki/Encoding/decoding_model_of...

   In the process of encoding, the sender (i.e. encoder) uses verbal (e.g. words, signs, images, video) and non-verbal (e.g. body language, hand gestures, face expressions) symbols for which he or she believes the receiver (that is, the decoder) will understand. The symbols can be words and numbers, images, face expressions, signals and/or actions.

3. 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 ...

4. 8b/10b encoding - Wikipedia

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

   Fibre Channel 8b/10b encoding. Layer 0. Physical. In telecommunications, 8b/10b is a line code that maps 8-bit words to 10-bit symbols to achieve DC balance and bounded disparity, and at the same time provide enough state changes to allow reasonable clock recovery. This means that the difference between the counts of ones and zeros in a string ...

5. List of open-source codecs - Wikipedia

   en.wikipedia.org/wiki/List_of_open-source_codecs

   VideoLAN dav1d – An AV1 decoder for decoding videos with AV1 codec; Xiph.Org rav1e – An AV1 encoder written in Rust; Google libgav1 – An AV1 decoder by Google; xvc – An open source video codec, aiming to compete with h.265 and AV1. The reference implementation is released under the LGPL 2.1 and currently available in version 2.0 (as of ...

6. Transformer (deep learning architecture) - Wikipedia

   en.wikipedia.org/wiki/Transformer_(deep_learning...

   Machine learningand data mining. A standard Transformer architecture, showing on the left an encoder, and on the right a decoder. Note: it uses the pre-LN convention, which is different from the post-LN convention used in the original 2017 Transformer. A transformer is a deep learning architecture developed by researchers at Google and based on ...

7. Differential coding - Wikipedia

   en.wikipedia.org/wiki/Differential_coding

   Differential coding. In digital communications, differential coding is a technique used to provide unambiguous signal reception when using some types of modulation. It makes transmissible data dependent on both the current and previous signal (or symbol) states. The common types of modulation that may be used with differential coding include ...