期刊
APPLIED MATHEMATICS AND COMPUTATION
卷 168, 期 1, 页码 411-430出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.amc.2004.09.031
关键词
numerical methods; nonlinear phenomena; signal processing; time series
This work presents a comparison between four classical spectral analyses: Fourier, multitaper, maximum entropy and iterative regression. Six 256-sample artificial series were generated by superposition of sine functions, long trends (of time scale greater than series length) and noise (generated by pseudo-random function). A spectral analysis of an observational time series (sunspot number) was also performed. Advantages and drawbacks of every method are described in this work. (c) 2004 Published by Elsevier Inc.
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