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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. Source–message–channel–receiver model of communication

    en.wikipedia.org/wiki/Source–Message–Channel...

    In this regard, Berlo speaks of the source-encoder and the decoder-receiver. Treating the additional components separately is especially relevant for technical forms of communication. For example, in the case of a telephone conversation, the message is transmitted as an electrical signal and the telephone devices act as encoder and decoder.

  4. 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 ...

  5. Transformer (deep learning architecture) - Wikipedia

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

    t. e. 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 the multi-head attention ...

  6. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    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.

  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 ...

  8. Error correction code - Wikipedia

    en.wikipedia.org/wiki/Error_correction_code

    The fundamental principle of ECC is to add redundant bits in order to help the decoder to find out the true message that was encoded by the transmitter. The code-rate of a given ECC system is defined as the ratio between the number of information bits and the total number of bits (i.e., information plus redundancy bits) in a given communication ...

  9. Lempel–Ziv–Welch - Wikipedia

    en.wikipedia.org/wiki/Lempel–Ziv–Welch

    The decoder is always one code behind the encoder in building the table, so when it sees the code for ω, it generates an entry for code 2 p − 1. Since this is the point where the encoder increases the code width, the decoder must increase the width here as well—at the point where it generates the largest code that fits in p bits.