Literature DB >> 19163232

A fast discrete S-transform for biomedical signal processing.

Robert A Brown1, Richard Frayne.   

Abstract

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.

Mesh:

Year:  2008        PMID: 19163232     DOI: 10.1109/IEMBS.2008.4649729

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Texture analysis of images using a two-dimensional fast time-frequency transform.

Authors:  Chun Hing Cheng; Pyari Mohan Pradhan; Joseph Ross Mitchell
Journal:  J Med Imaging (Bellingham)       Date:  2015-05-21

2.  Use of the Stockwell Transform in the Detection of P300 Evoked Potentials with Low-Cost Brain Sensors.

Authors:  Alan F Pérez-Vidal; Carlos D Garcia-Beltran; Albino Martínez-Sibaja; Rubén Posada-Gómez
Journal:  Sensors (Basel)       Date:  2018-05-09       Impact factor: 3.576

3.  Noninvasive neuromagnetic single-trial analysis of human neocortical population spikes.

Authors:  Gunnar Waterstraat; Rainer Körber; Jan-Hendrik Storm; Gabriel Curio
Journal:  Proc Natl Acad Sci U S A       Date:  2021-03-16       Impact factor: 12.779

  3 in total

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