DocumentCode :
3096325
Title :
Detection and tracking of superimposed non-stationary harmonics
Author :
Arun, K. ; Aung, M.
Author_Institution :
Illinois Univ., Urbana, IL, USA
fYear :
1990
fDate :
10-12 Oct. 1990
Firstpage :
173
Lastpage :
177
Abstract :
Detection and estimation of multiple narrowband components in a time-series is a difficult signal processing problem that shows up in many applications. The authors propose a parametric approach to the problem and examine an algorithm based on singular value decomposition to estimate and track the parameters. The model suggested for each narrowband component is a sinusoid with slowly varying amplitude and frequency. The algorithm proposed provides the noise reduction associated with very long averaging intervals, and yet tolerates significant drift of parameters (instantaneous amplitudes and frequencies) over the averaging interval.<>
Keywords :
harmonics; parameter estimation; signal detection; signal processing; tracking; SVD algorithm; averaging intervals; multiple narrowband components; noise reduction; parameters drift; parameters estimation; parameters tracking; signal detection; signal estimation; signal processing; singular value decomposition; sinusoid; slowly varying amplitude; slowly varying frequency; superimposed nonstationary harmonics; time-series; Additive noise; Amplitude estimation; Covariance matrix; Frequency estimation; Narrowband; Noise reduction; Power system modeling; Signal processing; Signal processing algorithms; Singular value decomposition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Spectrum Estimation and Modeling, 1990., Fifth ASSP Workshop on
Conference_Location :
Rochester, NY, USA
Type :
conf
DOI :
10.1109/SPECT.1990.205569
Filename :
205569
Link To Document :
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