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We perform an empirical analysis of the statistic properties of the probability density functions (PDFs) of the ECGs. We show that the statistical analysis of the ECGs can reveal useful information on the noise in the recordings, and on the true ECG. The paper complements another paper by the second author, with theoretical character.
We present a class of mixed adaptive filters that are able to switch between several modes of operation according to the statistical characteristics of the unknown noise when the class of true signals is known. The operation of the filters is explained in connection to the noise type.
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