1 research outputs found
Wavelet Based Dictionaries for Piecewise Dimensionality Reduction of ECG Signals
Dimensionality reduction of ECG signals is considered within the framework of
sparse representation. The approach constructs the signal model by selecting
elementary components from a redundant dictionary via a greedy strategy. The
proposed wavelet dictionaries are built from the multiresolution scheme, but
translating the prototypes within a shorter step than that corresponding to the
wavelet basis. The reduced representation of the signal is shown to be suitable
for compression at low level distortion. In that regard, compression results
are superior to previously reported benchmarks on the MIT-BIH Arrhythmia data
set.Comment: Software for constructing the dictionaries, as well as for
reproducing results, has been made available on
http://www.nonlinear-approx.info/examples/node011.htm