Biomedical Signals Analysis Using A Modified S-transform | 26681
Journal of Bioengineering & Biomedical Science
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The S-transform (ST) is a time-frequency analysis distribution approach with a number of desirable properties such as
phase information referenced to the origin. Also, the ST offers high spectral resolution similar to the wavelet transform
(WT) and other well known time-frequency representations. However this procedure has some disadvantages seen as poor
energy concentration for some type of signals. In this paper, a modification to the standard ST is proposed for the purpose of
improving the performance of the distribution. This is accomplished by adding new parameters to control the window?s width
which can greatly improve the signal representation in the time-frequency plane. The desired features of the ST that include
invert-ability and phase information are still preserved. The resulting estimator is used for biomedical signals analysis (ECG
Mohammed A. Al-Manie completed Doctorate of Philosophy in Electrical Engineering (Signal Processing) from the University of Pittsburgh, Pittsburgh, PA. U.S.A.
in August 2001. Currently; working as a research associate professor in the National Center for Computer Technology and Applied Math at King Abdulaziz City for
Science and Technology in Riyadh, Saudi Arabia. Carried out applied research in areas related to signal processing applications such as Arabic speech processing
and sound detection. Refereed a number of applied research projects.
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