A fast discrete S-transform for biomedical signal processing.
Determining the frequency content of a signal is a basic operation in signal and image processing. The S-transform provides both the true frequency and globally referenced phase measurements characteristic of the Fourier transform and also generates local spectra, as does the wavelet transform. Due to this combination, the S-transform has been successfully demonstrated in a variety of biomedical signal and image processing tasks. However, the computational demands of the S-transform have limited its application in medicine to this point in time. This abstract introduces the fast S-transform, a more efficient discrete implementation of the classic S-transform with dramatically reduced computational requirements.
Brown
Robert A
RA
Department of Electrical and Computer Engineering, University of Calgary and the Seaman Family MR Research Centre, Hotchkiss Brain Institute, Foothills Medical Centre, AB, Canada. brownr@ucalgary.ca
Frayne
Richard
R
D000465:Algorithms; D001698:Biomedical Engineering / Q000379:methods*; D003201:Computers; D001330:Electronic Data Processing; D004582:Electronics, Medical; D005583:Fourier Analysis; D006801:Humans; D008433:Mathematics; D015233:Models, Statistical; D012815:Signal Processing, Computer-Assisted; D012984:Software; D013995:Time; D013997:Time Factors