Abstract
We present an approach to time-frequency analysis of bioelectrical signals. The method relays on the decomposition of the signal into a set of waveforms that have good localization both in time and in frequency. The waveforms belong to a highly redundant set of functions - allowing for a very accurate description of signal components. Properties of the method are illustrated by simulations and applications to EEG. The presented method delivers a common formalism suitable for describing both gross statistical properties of structures present in bioelectrical signals, as well as microstructure of chosen phenomena.
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