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pro vyhledávání: '"Bógalo, Juan"'
Publikováno v:
In Expert Systems With Applications 1 October 2024 251
cissa() is a MATLAB function for signal extraction by Circulant Singular Spectrum Analysis, a procedure proposed in Bogalo et al (2021). cissa() extracts the underlying signals in a time series identifying their frequency of oscillation in an automat
Externí odkaz:
http://arxiv.org/abs/2102.01742
We introduce Multivariate Circulant Singular Spectrum Analysis (M-CiSSA) to provide a comprehensive framework to analyze fluctuations, extracting the underlying components of a set of time series, disentangling their sources of variation and assessin
Externí odkaz:
http://arxiv.org/abs/2007.07561
Sometimes, it is of interest to single out the fluctuations associated to a given frequency. We propose a new variant of SSA, Circulant SSA (CiSSA), that allows to extract the signal associated to any frequency specified beforehand. This is a novelty
Externí odkaz:
http://arxiv.org/abs/2003.12859
Publikováno v:
In Signal Processing February 2021 179
Publikováno v:
In Economics Letters February 2022 211
Akademický článek
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Publikováno v:
e_Buah Biblioteca Digital Universidad de Alcalá
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Singular Spectrum Analysis (SSA) is a nonparametric tecnique for signal extraction in time series based on principal components. However, it requires the intervention of the analyst to identify the frequencies associated to the extracted principal co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::3c849b25045f3eaabc94c9cfccbd4d9a
http://hdl.handle.net/10017/31198
http://hdl.handle.net/10017/31198