DocumentCode :
2257584
Title :
Real-time tracking of nonstationary signals using the Jacobi SVD algorithm
Author :
Lorenzelli, F. ; Yao, K.
Author_Institution :
Dept. of Electr. Eng., California Univ., Los Angeles, CA, USA
fYear :
1995
fDate :
17-22 Sep 1995
Firstpage :
120
Abstract :
We consider real-time nonparametric algorithms for nonstationarity detection and SVD updating based on Jacobi rotations. We propose two schemes which improve the overall performance when the rate of change of the data is high. In the “variable rotational rate” scheme, the number of Jacobi rotations per update is dynamically determined. In the “variable forgetting factor” approach, the effective width of the observation adjusts to the data nonstationarity
Keywords :
Jacobian matrices; signal detection; singular value decomposition; tracking; Jacobi SVD algorithm; Jacobi rotations; SVD updating; data nonstationarity; nonstationarity detection; nonstationary signals; observation width; performance; real-time nonparametric algorithms; real-time tracking; variable forgetting factor; variable rotational rate; Adaptive signal processing; Application specific integrated circuits; Change detection algorithms; Computer architecture; Direction of arrival estimation; Jacobian matrices; Signal processing algorithms; Speech; Vectors; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 1995. Proceedings., 1995 IEEE International Symposium on
Conference_Location :
Whistler, BC
Print_ISBN :
0-7803-2453-6
Type :
conf
DOI :
10.1109/ISIT.1995.531324
Filename :
531324
Link To Document :
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