| 词条 | Soft-decision decoder |
| 释义 |
In information theory, a soft-decision decoder is a kind of decoding methods – a class of algorithm used to decode data that has been encoded with an error correcting code. Whereas a hard-decision decoder operates on data that take on a fixed set of possible values (typically 0 or 1 in a binary code), the inputs to a soft-decision decoder may take on a whole range of values in-between. This extra information indicates the reliability of each input data point, and is used to form better estimates of the original data. Therefore, a soft-decision decoder will typically perform better in the presence of corrupted data than its hard-decision counterpart.[1] Soft-decision decoders are often used in Viterbi decoders and turbo code decoders. References1. ^{{cite book|last = Proakis|first = John|title = Digital communications|edition = 4th|year = 2001|publisher = McGraw Hill|isbn = 0-07-118183-0|pages = 457–460}} See also
1 : Error detection and correction |
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