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Transfer-appropriate processing (TAP) is a type of state-dependent memory specifically showing that memory performance is not only determined by the depth of processing (where associating meaning with information strengthens the memory; see levels-of-processing effect), but by the relationship between how information is initially encoded and how it is later retrieved.
When there is symmetry in the communication process - symmetry between encoding and decoding - it can be placed in the field of “meaningful media signs” (Meagher 185). Within this view, there are two dominant positions that one can take: there is the most symmetrical position (called the dominant hegemonic position) and there is the least ...
Many models of communication include the idea that a sender encodes a message and uses a channel to transmit it to a receiver. Noise may distort the message along the way. The receiver then decodes the message and gives some form of feedback. [1] Models of communication simplify or represent the process of communication.
The source–message–channel–receiver model is a linear transmission model of communication. It is also referred to as the sender–message–channel–receiver model, the SMCR model, and Berlo's model. It was first published by David Berlo in his 1960 book The Process of Communication.
Transfer-appropriate processing is a strategy for encoding that leads to successful retrieval. An experiment conducted by Morris and coworkers in 1977 proved that successful retrieval was a result of matching the type of processing used during encoding. [41]
Memory errors can also depend on the method of encoding used when initially experiencing or learning information, known as transfer-appropriate processing. [36] Encoding processes can occur at three levels: visual form (the letters that make up a word), phonology (the sound of a word), and semantics (the meaning of the word or sentence). With ...
Low-density parity-check (LDPC) codes are a class of highly efficient linear block codes made from many single parity check (SPC) codes. They can provide performance very close to the channel capacity (the theoretical maximum) using an iterated soft-decision decoding approach, at linear time complexity in terms of their block length.
The steps of encoding and decoding in Schramm's model perform the same role as transmitter and receiver in the Shannon–Weaver model. [5] [23] [24] Because of its emphasis on communication as a circular process, the main focus of Schramm's model is on the behavior of senders and receivers. For this reason, it does not involve a detailed ...