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
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;
Journal_Title :
Signal Processing Letters, IEEE