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A modified frequency slice wavelet transform for physiological signal time-frequency analysis
- Source :
- 2017 Chinese Automation Congress (CAC).
- Publication Year :
- 2017
- Publisher :
- IEEE, 2017.
-
Abstract
- As a new signal processing tool, a Modified frequency slice wavelet transform (MFSWT) is proposed for physiological signal time-frequency analysis in this study. The transform generates time-frequency representation from the frequency domain, and the reconstruction is independent of frequency slice function (FSF). To realize accurate time-frequency location of signal components, a bound signal-adaptive FSF was introduced to serve as a dynamic frequency filter for the transform. This method avoids troublesome parameter selection, is signal-adaptive and easy to use. The results of two case studies demonstrate the validity of the proposed method, which has good interpretability with high time-frequency resolution, and hence has significant potential for bio-signal time-frequency analysis.
- Subjects :
- Signal processing
Computer science
0206 medical engineering
Wavelet transform
02 engineering and technology
Function (mathematics)
020601 biomedical engineering
Signal
Time–frequency analysis
020303 mechanical engineering & transports
0203 mechanical engineering
Frequency domain
Spectrogram
Algorithm
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- 2017 Chinese Automation Congress (CAC)
- Accession number :
- edsair.doi...........ff1ee7a162260b345171ada572153baf