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Amplitude modulated Fourier series

  • Qing Hu Chen*
  • , Li Long Cai
  • *Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportConference Paper published in a bookpeer-review

Abstract

This paper researches the amplitude modulated fourier series (AMFS). For a non-stationary signal for which the spectrum is a function of the time, using constant coefficients of Fourier series means the losing local information of the spectrum. The amplitudes of AMFS, which vary as the function of the time, can improve the time-frequency localization for signal analysis. AMFS can also approximate the function in local time domain more accurately.Experiments show that AMFS is a useful tool for time-frequency analysis and function approximating.

Original languageEnglish
Title of host publicationInternational Conference on Machine Learning and Cybernetics
Pages2869-2875
Number of pages7
DOIs
Publication statusPublished - 2003
Event2003 International Conference on Machine Learning and Cybernetics - Xi'an, China
Duration: 2 Nov 20035 Nov 2003

Publication series

NameInternational Conference on Machine Learning and Cybernetics
Volume5

Conference

Conference2003 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityXi'an
Period2/11/035/11/03

Keywords

  • Fourier analysis
  • Signal analysis
  • Spectrum

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