Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9506694 | Applied Mathematics and Computation | 2005 | 20 Pages |
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
Authors
Nivaor Rodolfo Rigozo, Ezequiel Echer, Daniel Jean Roger Nordemann, LuÃs Eduardo Antunes Vieira, Heloisa Helena de Faria,