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Rahim Mahmoudvand

Rahim Mahmoudvand

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId: 35146363700
HIndex:
Faculty: Faculty of Science
Address:
Phone:

Research

Title
ON THE SEPARABILITY BETWEEN SIGNAL AND NOISE IN SINGULAR SPECTRUM ANALYSIS
Type
JournalPaper
Keywords
Singular spectrum analysis; window length; optimal value; separability; trajectory matrix; decomposition; signal extraction
Year
2012
Journal FLUCTUATION AND NOISE LETTERS
DOI
Researchers Hossein Hassani ، Rahim Mahmoudvand ، Mohammad Zokaei ، Mansoureh Ghodsi

Abstract

The optimal value of the window length in singular spectrum analysis (SSA) is considered with respect to the concept of separability between signal and noise component, from the theoretical and practical perspective. The theoretical results confirm that for a wide class of time series of length N, the suitable value of this parameter is median {1, . . . ,N}. The results of both simulated and real data verify the effectiveness of the theoretical results. The theoretical results obtained here coincide with those obtained previously from the empirical point of view.