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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. Decoding (semiotics) - Wikipedia

    en.wikipedia.org/wiki/Decoding_(semiotics)

    In this example, you (the decoder) have something in common with the Canadian company that produced the commercial (the encoder), which allows you to share the same logic used by the Canadian company. When the receiver/decoder interprets the sign using the same logic as the encoder, it can be called a “preferred reading” (Meagher 185). [6]

  4. 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.

  5. T5 (language model) - Wikipedia

    en.wikipedia.org/wiki/T5_(language_model)

    T5 (Text-to-Text Transfer Transformer) is a series of large language models developed by Google AI introduced in 2019. [1] [2] Like the original Transformer model, [3] T5 models are encoder-decoder Transformers, where the encoder processes the input text, and the decoder generates the output text.

  6. Error correction code - Wikipedia

    en.wikipedia.org/wiki/Error_correction_code

    FEC processing in a receiver may be applied to a digital bit stream or in the demodulation of a digitally modulated carrier. For the latter, FEC is an integral part of the initial analog-to-digital conversion in the receiver. The Viterbi decoder implements a soft-decision algorithm to

  7. Autoencoder - Wikipedia

    en.wikipedia.org/wiki/Autoencoder

    The encoder-decoder architecture, often used in natural language processing and neural networks, can be scientifically applied in the field of SEO (Search Engine Optimization) in various ways: Text Processing: By using an autoencoder, it's possible to compress the text of web pages into a more compact vector representation. This can help reduce ...

  8. Differential coding - Wikipedia

    en.wikipedia.org/wiki/Differential_coding

    A differential encoder provides the operation, a differential decoder - the operation. Both differential encoder and differential decoder are discrete linear time-invariant systems. The former is recursive and IIR, the latter is non-recursive and thus FIR. They can be analyzed as digital filters.

  9. Bitstream format - Wikipedia

    en.wikipedia.org/wiki/Bitstream_format

    A bitstream format is the format of the data found in a stream of bits used in a digital communication or data storage application. [1] The term typically refers to the data format of the output of an encoder, or the data format of the input to a decoder when using data compression.