Classifying Signals Using Mutual Information
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United States of America Patent
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Apr 5, 2017
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Apr 8, 2016
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Input data may be classified using one or both of mutual information between segments and expected class scores. Input data to be classified may be segmented into an input sequence of segments. The input sequence of segments may be compared with a reference sequences of segments for a first class to generate a first class score indicating a similarity between the input data and the first class. The first class score may be computed by computing a probability mass function between input segments and reference segments and then computing a mutual information value from the probability mass function. The input data may then be classified using the first class score and/or class score for other classes. In some implementations, expected class scores may be used in making the classification decision.
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