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Wavelet packet transform and joint best-basis

3 Wavelet packet transform and joint best-basis [Pg.171]

It is also possible to apply a filter F to decompose all m signals, using the Wavelet Packet Transform (WPT). For each signal, a matrix is obtained that contains the wavelets coefficients (see Fig. 6). Element denotes the ith wavelet coefficient at the jth level in the r band of the kth signal decomposition. [Pg.171]

If the best-basis selection algorithm with the entropy criterion is applied to individual signals decomposed by WPT, the following situations can occur  [Pg.171]

The first case occurs, when the data set contains very similar signals, which can happen in calibration or pattern recognition situations. In this case all [Pg.171]

WPT decompositions tables j best-basis and best-bases [Pg.172]




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