作者: Ahsan Kareem , Kurtis Gurley
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摘要: The analysis, identification, characterization and simulation of random processes utilizing both the continuous discrete wavelet transform is addressed. used to decompose into localized orthogonal basis functions, providing a convenient format for modeling, non-stationary processes. time frequency analysis made possible by provides insight character transient signals through time-frequency maps variant spectral decomposition that traditional approaches miss. In relatively short life transform, it has found use in wide variety applications. This applications-orientated paper will briefly discuss development digital signal present numerous examples where authors have useful their studies concerning identification involving ocean engineering, wind earthquakes. © 1998 Elsevier Science Ltd. All rights reserved.