DocumentCode :
3393220
Title :
Dynamic spectral analysis based on an autoregressive model with time-varying coefficients
Author :
Schloegl, Alois
Author_Institution :
Inst. of Biomed. Eng., Graz Univ. of Technol., Austria
Volume :
2
fYear :
1995
fDate :
20-23 Sep 1995
Firstpage :
881
Abstract :
A method of dynamic spectral analysis based on an autoregressive model with time-varying coefficients is presented. For parameter estimation a method simpler than the Kalman approach is introduced. The capability of the estimation procedure is where demonstrated by applying it to simulated data
Keywords :
autoregressive processes; medical signal processing; parameter estimation; physiological models; spectral analysis; Kalman approach; antoregressive model; dynamic spectral analysis; estimation procedure; simulated data; time-varying coefficients; Adaptive algorithm; Adaptive estimation; Biomedical engineering; Equations; Filtering; Kalman filters; Parameter estimation; Predictive models; Spectral analysis; White noise;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
Type :
conf
DOI :
10.1109/IEMBS.1995.579251
Filename :
579251
Link To Document :
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