Segmentation of time-varying signals by using variable amplitude Fourier series

Qinghu Chen; Lilong Cai

doi:10.1117/12.539883

25 September 2003 Segmentation of time-varying signals by using variable-amplitude Fourier series

Qinghu Chen, Lilong Cai

Proceedings Volume 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition; (2003) https://doi.org/10.1117/12.539883
Event: Third International Symposium on Multispectral Image Processing and Pattern Recognition, 2003, Beijing, China

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.

Citation Download Citation

Qinghu Chen and Lilong Cai "Segmentation of time-varying signals by using variable-amplitude Fourier series", Proc. SPIE 5286, Third International Symposium on Multispectral Image Processing and Pattern Recognition, (25 September 2003); https://doi.org/10.1117/12.539883

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