Univariate and Multivariate Signal Decomposition:Review and Future Directions
Most signals obtained in the real world are non-stationary and nonlinear,decomposing such complex sig-nals into several simple sub-signals is an important signal processing method.Since the Hilbert-Huang transform(HHT)was proposed in 1998,after more than 20 years of development,signal decomposition has become a relat-ively independent and innovative important content in the field of signal processing.Especially in the past decade,multivariate signal decomposition methods and theoretical research are in the ascendant,which have been success-fully applied in many fields.However,there is no relevant overview report at present.Therefore,this paper system-atically summarizes the development of signal decomposition theory and methods from both univariate and mul-tivariate aspects.This work analyzes and compares the time-frequency expression performance of these methods,and points out the advantages and issues.Finally,the future research of signal decomposition is prospected and summarized.
Signal decompositiontime-frequency analysisHilbert-Huang transform(HHT)multivariate signal de-composition
万方数据
维普
