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Proceedings Paper

Segmentation of time-varying signals by using variable amplitude Fourier series
Author(s): Qinghu Chen; Lilong Cai
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Paper Abstract

This paper proposes Variable Amplitude Fourier Series (VAFS). For a time-varying signal, the amplitude of VAFS vary as function of the time, which can be used as the tool of time-frequency localization. Based upon VAFS, Local Approximate Index(LAI) is proposed. LAI can be used to measure local maximal freuqency of signal. By using LAI, signal of time-varying can be segmented by frequently and time-invariant interval (TII) of signal can be obtained. Re-sampling of signal and speech segmentation can be effectively processed by using VAFS and LAI.

Paper Details

Date Published: 25 September 2003
PDF: 6 pages
Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); doi: 10.1117/12.539883
Show Author Affiliations
Qinghu Chen, Wuhan Univ. (China)
Lilong Cai, Hong Kong Univ. of Science and Technology (Hong Kong)


Published in SPIE Proceedings Vol. 5286:
Third International Symposium on Multispectral Image Processing and Pattern Recognition
Hanqing Lu; Tianxu Zhang, Editor(s)

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