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

fYear

2006

fDate

12-14 July 2006

Firstpage

496

Lastpage

499

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Sensor Array and Multichannel Processing, 2006. Fourth IEEE Workshop on

Conference_Location

Waltham, MA

Print_ISBN

1-4244-0308-1

Type

conf

DOI

10.1109/SAM.2006.1706183

Filename

1706183

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2632482