Title :
Amplitude modulated Fourier series
Author :
Chen, Qing-hu ; Cai, Li-long
Author_Institution :
Elelctron. Inf. Sch., Wuhan Univ., China
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.
Keywords :
Fourier series; amplitude modulation; function approximation; spectral analysis; time-frequency analysis; AMFS; amplitude modulated Fourier series; function approximation; nonstationary signal; signal analysis; spectrum; time-frequency analysis; time-frequency localization; Amplitude modulation; Fourier series; Frequency domain analysis; Phase modulation; Signal analysis; Signal processing; Spectrogram; Time domain analysis; Time frequency analysis; Time series analysis;
Conference_Titel :
Machine Learning and Cybernetics, 2003 International Conference on
Print_ISBN :
0-7803-8131-9
DOI :
10.1109/ICMLC.2003.1260048
