Title :
A new unsupervised neural learning rule for orthonormal signal processing
Author :
Fiori, Simone ; Campolucci, Paolo ; Uncini, Aurelio ; Piazza, Francesco
Author_Institution :
Dipt. di Elettronica e Autom., Ancona Univ., Italy
Abstract :
We derive a new class of neural unsupervised learning rules which arises from the analysis of the dynamics of an abstract mechanical system. The corresponding algorithms can be used to solve several problems in the area of digital signal processing, where orthonormal matrices are involved. We present an application which deals with blind separation of sources, i.e. a new method to perform efficient independent component analysis (ICA) of random signals
Keywords :
matrix algebra; neural nets; random processes; signal processing; unsupervised learning; abstract mechanical system; algorithms; blind source separation; digital signal processing; experimental results; independent component analysis; linear neural networks; orthonormal matrices; orthonormal signal processing; random signals; unsupervised neural learning rule; Digital signal processing; Independent component analysis; Mechanical systems; Neural networks; Power measurement; Signal analysis; Signal processing; Signal processing algorithms; Steady-state; Unsupervised learning;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
Print_ISBN :
0-8186-7919-0
DOI :
10.1109/ICASSP.1997.595511
