Detection and estimation of spectral change

Authors:
P. O'shea;M. Farquharson;G. Ledwich;Z. M. Hussain
Affiliations:
School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Brisbane, QLD, Australia;School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Brisbane, QLD, Australia;School of Electrical and Electronic Systems Engineering, Queensland University of Technology, Brisbane, QLD, Australia;School of Electrical and Computer Engineering, RMIT University, Melbourne, Australia
Venue:
ICECS'03 Proceedings of the 2nd WSEAS International Conference on Electronics, Control and Signal Processing
Year:
2003

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Abstract

Spectral change estimation is important in many applications, because changes in spectra often correspond to changes in important physical parameters. Most attempts at detecting and estimating spectral change simply difference conventional spectra; this approach is flawed, however, because conventional spectra implicitly assume the observed signal is stationary over the measurement interval. This paper proposes a spectral change estimator which makes no such assumptions about stationarity. It is effective for signals with rapidly changing spectral components, even in the presence of heavy noise.