Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

Wavelet Transform Application for/in Non-Stationary Time-Series Analysis: A Review

Non-stationary time series (TS) analysis has gained an explosive interest over the recent decades in different applied sciences. In fact, several decomposition methods were developed in order to extract various components (e.g., seasonal, trend and abrupt components) from the non-stationary TS, whic...

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Bibliographic Details
Main Authors: Manel Rhif, Ali Ben Abbes, Imed Riadh Farah, Beatriz Martínez, Yanfang Sang
Format: Article
Language:English
Published: MDPI AG 2019-03-01
Series:Applied Sciences
Subjects:
wavelet transform
non stationary
time series
time-frequency
decomposition
applied sciences
Online Access:https://www.mdpi.com/2076-3417/9/7/1345

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