tailieunhanh - Báo cáo hóa học: "Editorial The Empirical Mode Decomposition and the Hilbert-Huang Transform"

Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Editorial The Empirical Mode Decomposition and the Hilbert-Huang Transform | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008 Article ID 251518 2 pages doi 2008 251518 Editorial The Empirical Mode Decomposition and the Hilbert-Huang Transform Nii Attoh-Okine 1 Kenneth Barner 2 Daniel Bentil 3 and Ray Zhang4 1 Department of Civil and Environmental Engineering University of Delaware Newark DE 19716 USA 2 Department of Electrical and Computer Engineering University of Delaware Newark DE 19716 USA 3 Departments of Mathematics and Statistics and Molecular Physiology Biophysics The University of Vermont Burlington vT 05405 USA 4 Civil Engineering Specialty Division of Engineering Colorado School of Mines Golden CO 80401 USA Correspondence should be addressed to Nii Attoh-Okine okine@ Received 4 November 2008 Accepted 4 November 2008 Copyright 2008 Nii Attoh-Okine et al. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Data from natural phenomena are usually nonstationary due to their transient nature also the span of captured data maybe shorter than the longest time scale that describes the phenomenon. In fact since it is impossible or impractical to obtain infinite data points describing a phenomenon all data are invariably short. To simplify processing and analysis data stationarity is often assumed even though the condition may not be strictly satisfied. For instance the stationarity assumption justifies traditional Fourierbased methods which utilize a priori basis sets to globally decompose a signal. To directly address the processing of nonstationary and nonlinear signals the Hilbert-Huang transform HHT has recently been developed. The HHT comprises two steps empirical mode decomposition EMD and Hilbert spectral analysis HSA . Unlike Fourier-based methods the EMD decomposes a signal into its components adaptively without