Vol. 204, Issue 9, September 2016, pp. 21-28

Abstract: This document presents a sliding window algorithm for the calculation of the empirical mode decomposition for long signals. The spline calculation of very long signals requires a long computation time. Our aim is to improve the calculation time of the empirical mode decomposition for Long signals. Some authors have used sliding windows for the whole decomposition. Our main contribution is to reduce the computation time calculating each intrinsic mode function on a sliding window basis. That ensures the obtained intrinsic mode function has no discontinuities on the junction regions between consecutive windows. Moreover, the sliding window size changes adaptively according to the number of extrema in the previous intrinsic mode function. The effectiveness of the proposed method increases with the length of the signal obtaining computation times of the order of 30 % of the time required to obtain the decomposition using only a window as in the classical manner. Those results are important to apply the empirical mode decomposition to long signals. Particularly, to biomedical signals like long-term ECG or long term EEG.

Keywords: Empirical mode decomposition, Intrinsic mode function, Long signals, Sliding window.

Click <here> or title of paper to download the full pages article in pdf format

This work is licensed under a Creative Commons 4.0 International License

1999 - 2016 Copyright ©, International Frequency Sensor Association (IFSA) Publishing, S.L. All Rights Reserved.

Home - News - Links - Archives - Tools - Voltage-to-Frequency Converters - Standardization - Patents - Marketplace - Projects - Wish List - e-Shop - Sensor Jobs - Membership - Videos - Publishing - Site Map - Subscribe - Search

 Members Area -Sensors Portal -Training Courses - S&T Digest - For advertisers - Bookstore - Forums - Polls - Submit Press Release - Submit White Paper - Testimonies - Twitter - Facebook - LinkedIn