DocumentCode
1870136
Title
A Wavelet Approach to the Selective Computation of Domninant Eigenvalues
Author
McIlhagger, D. ; Littler, Tim ; Irwin, G.
Author_Institution
Sch. of Electr. & Electron. Eng., Queen´s Univ., Belfast
fYear
2006
fDate
28-30 June 2006
Firstpage
389
Lastpage
394
Abstract
This paper introduces an algorithm that calculates the dominant eigenvalues (in terms of system stability) of a linear model and neglects the exact computation of the non-dominant eigenvalues. The method estimates all of the eigenvalues using wavelet based compression techniques. These estimates are used to find a suitable invariant subspace such that projection by this subspace will provide one containing the eigenvalues of interest. The proposed algorithm is exemplified by application to a power system model
Keywords
data compression; eigenvalues and eigenfunctions; signal processing; wavelet transforms; dominant eigenvalues; invariant subspace; linear model; power system model; selective computation; wavelet based compression technique; Chebyshev; Eigenvalues; Eigenvectors; Simultaneous Iterations; Wavelets;
fLanguage
English
Publisher
iet
Conference_Titel
Irish Signals and Systems Conference, 2006. IET
Conference_Location
Dublin
Print_ISBN
0-86341-665-9
Type
conf
Filename
4123932
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