Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/1931
Title: Determination of wavelet ridges of nonstationary signals by singular value decomposition
Authors: Özkurt, Nalan
Savacı, Ferit Acar
Keywords: Chaos theory
Computational methods
Spurious signal noise
Signal filtering and prediction
Wavelet ridge
Issue Date: 2005
Publisher: Institute of Electrical and Electronics Engineers Inc.
Source: Özkurt, N., and Savacı, F.A. (2005). Determination of wavelet ridges of nonstationary signals by singular value decomposition. IEEE Transactions on Circuits and Systems II: Express Briefs, 52(8), 480-485. doi:10.1109/TCSII.2005.849041
Abstract: The ridges obtained from chaotic signals can give the relevant information about the phase structures of the dynamical systems. Therefore, a new wavelet ridge determination method for the noisy signals and nonstationary signals, which is based on the singular value decomposition (SVD) has been proposed in this paper. The proposed method has been compared with Carmona method for monocomponent signals, and multicomponent signals. The proposed method is computationally more effective than the Carmona method to determine the actual ridges. Also, the ridges of the periodic limit cycles and chaotic attractors have been determined by using the SVD-based method to find the degree of chaoticity.
URI: http://doi.org/10.1109/TCSII.2005.849041
http://hdl.handle.net/11147/1931
ISSN: 1057-7130
1057-7130
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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