DocumentCode
3103266
Title
Robust hyperbolic square root updating in RLS estimation
Author
Bojanczyk, Adam W. ; Steinhardt, Allan O. ; So, Sing H.
Author_Institution
Dept. of Electr. Eng., Cornell Univ., Ithaca, NY, USA
fYear
1988
fDate
3-5 Aug 1988
Firstpage
301
Lastpage
306
Abstract
A stabilized version of the hyperbolic Householder transform method for the multiple vector downdating of Cholesky factors has been developed. This approach offers roughly a twofold savings over schemes based on the multiple application of single-vector downdating schemes, and it is just as stable. The proposed approach is found to exhibit numerical behavior superior to the standard scheme in simulations. It is concluded that there is no computational penalty incurred with stabilized hyperbolic Householder transforms; they enjoy an operation count identical to their conventional counterparts
Keywords
least squares approximations; signal processing; transforms; Cholesky factors; RLS estimation; hyperbolic Householder transform method; hyperbolic square root updating; multiple vector downdating; signal processing; simulations; stabilised transforms; Covariance matrix; Equations; Filtering; Least squares approximation; Least squares methods; Resonance light scattering; Robustness; Signal processing algorithms; Transforms; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Spectrum Estimation and Modeling, 1988., Fourth Annual ASSP Workshop on
Conference_Location
Minneapolis, MN
Type
conf
DOI
10.1109/SPECT.1988.206210
Filename
206210
Link To Document