Title :
A new minor component analysis method based on Douglas-Kung-Amari minor subspace analysis method
Author :
Jankovic, Marko V. ; Reljin, Branimir
Author_Institution :
Inst. of Electr. Eng., Belgrade, Serbia
Abstract :
This letter presents a new minor component analysis algorithm that is based on the transformation of the known minor subspace analysis algorithm. The minor subspace analysis method that is adopted is the one proposed by Douglas, Kung, and Amari. The proposed minor component analysis algorithm extracts N minor components of the K-dimensional vector stationary random process N\n\n\t\t
Keywords :
adaptive signal processing; neural nets; principal component analysis; random processes; Douglas-Kung-Amari MSA; K-dimensional vector; MCA algorithm; adaptive algorithm; individual neuron; minor component analysis; minor subspace analysis method; stationary random process; Algorithm design and analysis; Covariance matrix; Data mining; Differential equations; Hardware; Learning systems; Neurons; Random processes; Signal processing algorithms; Stochastic processes; Adaptive algorithm; minor component analysis (MCA);
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2005.859497
