DocumentCode :
1449406
Title :
A self-stabilized minor subspace rule
Author :
Douglas, Scott C. ; Kong, Sheng-Yi ; Amari, Shun-Ichi
Author_Institution :
Dept. of Electr. Eng., Southern Methodist Univ., Dallas, TX, USA
Volume :
5
Issue :
12
fYear :
1998
Firstpage :
328
Lastpage :
330
Abstract :
In this letter, we present a minor subspace rule that extracts the subspace that spans the m minor components of a n-dimensional vector stationary random process, m\n\n\t\t
Keywords :
eigenvalues and eigenfunctions; matrix algebra; random processes; signal processing; stability; minor component analysis; n-dimensional vector stationary random process; self-stabilized minor subspace rule; self-stabilizing algorithm; subspace vectors; Adaptive algorithm; Algorithm design and analysis; Analytical models; Brain modeling; Eigenvalues and eigenfunctions; Equations; Information systems; Principal component analysis; Random processes; Research and development;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/97.735427
Filename :
735427
Link To Document :
بازگشت