Second Order Sequential Best Rotation (SBR2) Algorithm With Householder Transformation for Polynomial Matrix Eigenvalue Decomposition (PEVD)
Published in ICASSP, 2019
Recommended citation: V. W. Neo and P. A. Naylor, "Second-order sequential best rotation algorithm with Householder transformation for polynomial matrix eigenvalue decomposition," in Proc. IEEE Intl. Conf. on Acoust., Speech and Signal Process. (ICASSP), May 2019.
This paper is about the use of Householder transformation on the SBR2 algorithm to speed up PEVD computation.
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