TECHNICAL PAPERS
Jul 15, 2004

Evolutionary Spectra Estimation Using Wavelets

Publication: Journal of Engineering Mechanics
Volume 130, Issue 8

Abstract

A wavelets-based method is developed to estimate the evolutionary power spectral density (EPSD) of nonstationary stochastic processes. The method relies on the property that the continuous wavelet transform of a nonstationary process can be treated as a stochastic process with EPSD given in terms of the EPSD of the process in a closed form. This yields an equation in the frequency domain relating the instantaneous mean-square value of the wavelet transform to the EPSD of the process. A number of these equations are considered, each related to a certain scale of the wavelet transform, in conjunction with representing the target EPSD as a sum of time-independent shape functions modulated by time-dependent coefficients; the squared moduli of the Fourier transforms of the wavelets associated with the selected scales are taken as shape functions. This leads to a linear system of equations which is solved to determine the unknown time-dependent coefficients; the same system matrix applies for all time instances. Numerical examples demonstrate the accuracy and computational efficiency of the proposed method.

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Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 130Issue 8August 2004
Pages: 952 - 960

History

Received: May 9, 2003
Accepted: Nov 26, 2003
Published online: Jul 15, 2004
Published in print: Aug 2004

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Authors

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Pol D. Spanos, F.ASCE
George R. Brown School of Engineering, L. B. Ryon Chair in Engineering, Rice Univ., P.O. Box 1892, Houston, TX 77251.
Giuseppe Failla
Researcher, Dipartimento di Meccanica e Materiali, Univ. “Mediterranea” di Reggio Calabria, Località Graziella Feo di Vito, 89060 Reggio Calabria, Italy.

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