tailieunhanh - Báo cáo hóa học: " Editorial Recent Advances in Theory and Methods for Nonstationary Signal Analysis"

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 Recent Advances in Theory and Methods for Nonstationary Signal Analysis | Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2011 Article ID 963642 3 pages doi 2011 963642 Editorial Recent Advances in Theory and Methods for Nonstationary Signal Analysis Patrick Flandrin EURASIP Member 1 Antonio Napolitano EURASIP Member 2 Haldun M. Ozaktas 3 and David J. Thomson4 1 Departement de Physique UMR CNRS 5672 Ecole Normale Superieure de Lyon 69364 Lyon Cedex 07 France 2 Department of Technology University of Napoli Parthenope 80143 Napoli Italy 3 Department of Electrical Engineering Bilkent University 06800 Bilkent Ankara Turkey 4 Department of Mathematics and Statistics Queen s University Kingston ON Canada K7L 3N6 Correspondence should be addressed to Antonio Napolitano Received 3 March 2011 Accepted 3 March 2011 Copyright 2011 Patrick Flandrin 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. All physical processes are nonstationary. When analyzing time series it should be remembered that nature can be amazingly complex and that many of the theoretical constructs used in stochastic process theory for example linearity ergodicity normality and particularly stationarity are mathematical fairy tales. There are no stationary time series in the strict mathematical sense at the very least everything has a beginning and an end. Thus while it is necessary to know the theory of stationary processes one should not adhere to it dogmatically when analyzing data from physical sources particularly when the observations span an extended period. Nonstationary signals are appropriate models for signals arising in several fields of applications including communications speech and audio mechanics geophysics climatology solar and space physics optics and biomedical engineering. Nonstationary models account for .