Title :
A Note on the Derivation of Orthogonal Gradient Algorithm for Subspace Estimation
Author :
Bojanczyk, Adam W.
Author_Institution :
Sch. of Electr. & Comput. Eng., Cornell Univ., Ithaca, NY
Abstract :
The purpose of this note is to present an alternative derivation of orthogonal subspace estimation algorithms from elementary geometric properties of reflections. This derivation leads to an entire class of equivalent reflection based algorithms. The cost and performance of these algorithms are essentially the same as those presented earlier by other researchers, and can be superior in the case of high SNRs
Keywords :
electromagnetic wave reflection; geometry; gradient methods; elementary geometric properties; orthogonal gradient algorithm; reflection based algorithms; subspace estimation; Additive white noise; Costs; Covariance matrix; Eigenvalues and eigenfunctions; Minimization methods; Reflection;
Conference_Titel :
Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on
Conference_Location :
Waltham, MA
Print_ISBN :
1-4244-0308-1
DOI :
10.1109/SAM.2006.1706183
