Article ID Journal Published Year Pages File Type
9506694 Applied Mathematics and Computation 2005 20 Pages PDF
Abstract
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.
Related Topics
Physical Sciences and Engineering Mathematics Applied Mathematics
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