Nonpolynomial Spline Based Empirical Mode Decomposition

被引：0

作者：

Singh, Pushpendra ^{[1
]}

Srivastava, Pankaj Kumar ^{[2
]}

Patney, Rakesh Kumar ^{[1
]}

Joshi, Shiv Dutt ^{[1
]}

Saha, Kaushik ^{[3
]}

机构：

[1] Indian Inst Technol, Dept Elect Engn, Delhi, India

[2] Jaypee Inst Informat Technol, Dept Math, Noida, India

[3] STMicroelect India Pvt Ltd, Noida, India

来源：

2013 INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND COMMUNICATION (ICSC) | 2013年

关键词：

Empirical mode decomposition; mode mixing; non polynomial spline; intrinsic mode functions; detrend uncertainty; SOLVING DIFFERENTIAL-EQUATIONS; NUMERICAL-SOLUTION; COMPUTATIONAL TECHNIQUES; SYSTEM;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Authors propose a non polynomial spline based Empirical Mode Decomposition (EMD) algorithm to reduce mode mixing, and detrend uncertainty in analysis of time series. This new algorithm first locates original and pseudo extrema and then uses nonpolynomial spline interpolation to determine the upper and lower envelope at each decomposition step. A set of algebraic equations for the non polynomial spline interpolation is derived. A numerical simulation has been carried out for the analysis of error in spline interpolations. Various time series analysis have been preformed to show comparison among EMD and ensemble EMD (EEMD) based on polynomial spline, and non polynomial spline based EMD. Nonpolynomial spline based EMD algorithm is promising and generating better results.

引用

页码：435 / 440

页数：6

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