Title :
Non-orthogonal Gabor representation of biological signals
Author :
Brown, Mark L. ; Williams, William J. ; Hero, Alfred O., III
Author_Institution :
Bioeng. Program, Michigan Univ., Ann Arbor, MI, USA
Abstract :
A new technique for modelling biological signals as a linear combination of non-orthogonal Gabor logons is described. The technique has been applied to two types of signals, event-related potentials (ERPs) and temporomandibular joint (TMJ) clicks. Examination of time-frequency representations of these signals revealed that they appear to consist of a small number of localized energy concentrations. Attempts to capture this apparent low dimensionality with the standard orthogonal Gabor expansion and the standard wavelet transform were unsuccessful. However, the non-orthogonal Gabor decomposition method described in this paper provides a compact, accurate signal representation and the parameters provide a good basis for ERP category and TMJ click classification
Keywords :
bioacoustics; bioelectric potentials; biomechanics; medical signal processing; pattern classification; signal representation; time-frequency analysis; biological signals; event-related potentials; localized energy concentrations; non-orthogonal Gabor decomposition method; non-orthogonal Gabor representation; orthogonal Gabor expansion; signal representation; temporomandibular joint clicks; time-frequency representations; wavelet transform; Biological system modeling; Biology; Biomedical engineering; Electronic mail; Enterprise resource planning; Pattern classification; Signal processing; Solid modeling; Time frequency analysis; Wavelet transforms;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1994. ICASSP-94., 1994 IEEE International Conference on
Conference_Location :
Adelaide, SA
Print_ISBN :
0-7803-1775-0
DOI :
10.1109/ICASSP.1994.389742