Soft-decision decoder

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In information theory, a soft-decision decoder is 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]

References[edit]

  1. ^ Proakis, John (2001). Digital communications (4th ed.). McGraw Hill. pp. 457–460. ISBN 0-07-118183-0. 

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