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

Qinghu Chen; Lilong Cai

doi:10.1117/12.539883

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

Qinghu Chen^*, Lilong Cai

^*Corresponding author for this work

Department of Mechanical and Aerospace Engineering

Research output: Contribution to journal › Conference article published in journal › peer-review

Abstract

This paper proposes Variable Amplitude Fourier Series (VAFS). For a time-varying signal, the amplitudes 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 frequency of signal. By using LAI, signal of time-varying can be segmented by frequency 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.

Original language	English
Pages (from-to)	770-775
Number of pages	6
Journal	Proceedings of SPIE - The International Society for Optical Engineering
Volume	5286
Issue number	2
DOIs	https://doi.org/10.1117/12.539883
Publication status	Published - 2003
Event	Third International Symposium on Multispectral Image Processing and Pattern Recognition - Beijing, China Duration: 20 Oct 2003 → 22 Oct 2003

Keywords

Re-sampling of signal
Speech segmentation
Variable Amplitude Fourier Series

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10.1117/12.539883

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title = "Segmentation of time-varying signals by using variable amplitude fourier series",

abstract = "This paper proposes Variable Amplitude Fourier Series (VAFS). For a time-varying signal, the amplitudes 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 frequency of signal. By using LAI, signal of time-varying can be segmented by frequency 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.",

keywords = "Re-sampling of signal, Speech segmentation, Variable Amplitude Fourier Series",

author = "Qinghu Chen and Lilong Cai",

year = "2003",

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language = "English",

volume = "5286",

pages = "770--775",

journal = "Proceedings of SPIE - The International Society for Optical Engineering",

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note = "Third International Symposium on Multispectral Image Processing and Pattern Recognition ; Conference date: 20-10-2003 Through 22-10-2003",

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TY - JOUR

T1 - Segmentation of time-varying signals by using variable amplitude fourier series

AU - Chen, Qinghu

AU - Cai, Lilong

PY - 2003

Y1 - 2003

N2 - This paper proposes Variable Amplitude Fourier Series (VAFS). For a time-varying signal, the amplitudes 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 frequency of signal. By using LAI, signal of time-varying can be segmented by frequency 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.

AB - This paper proposes Variable Amplitude Fourier Series (VAFS). For a time-varying signal, the amplitudes 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 frequency of signal. By using LAI, signal of time-varying can be segmented by frequency 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.

KW - Re-sampling of signal

KW - Speech segmentation

KW - Variable Amplitude Fourier Series

UR - https://www.scopus.com/pages/publications/1242330405

U2 - 10.1117/12.539883

DO - 10.1117/12.539883

M3 - Conference article published in journal

AN - SCOPUS:1242330405

SN - 0277-786X

VL - 5286

SP - 770

EP - 775

JO - Proceedings of SPIE - The International Society for Optical Engineering

JF - Proceedings of SPIE - The International Society for Optical Engineering

IS - 2

T2 - Third International Symposium on Multispectral Image Processing and Pattern Recognition

Y2 - 20 October 2003 through 22 October 2003

ER -

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

Abstract

Keywords

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