Method and system for adaptive context-embedded prediction
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United States of America Patent
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May 7, 2013
Grant Date -
Nov 4, 2010
app pub date -
Apr 30, 2009
filing date -
Apr 30, 2009
priority date (Note) -
Expired
status (Latency Note)
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Abstract
One embodiment of the present invention is directed to an adaptive context-based predictor that predicts a value {circumflex over (x)} from a context, stored in an electronic memory, corresponding to a noisy-dataset symbol zi of a noisy dataset corrupted with noise modeled as being introduced by a noise-introducing channel. The adaptive context-based predictor is adapted according to one or more parameters that specify adaptive context-based-predictor operation, at least one of which functionally depends, or partially functionally depends, on a level of noise represented by the noise-introducing channel. The adaptive context-based predictor computes a number of intermediate values from the context, computes the predicted value {circumflex over (x)} from the intermediate values, and stores the predicted value {circumflex over (x)} in the electronic memory.
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