Title :
`Mechanical´ neural learning for blind source separation
Author_Institution :
Dept. of Ind. Eng., Perugia Univ., Italy
fDate :
10/28/1999 12:00:00 AM
Abstract :
A class of learning models derived from the study of the dynamics of an abstract rigid mechanical system is presented. Application to blind source separation is illustrated through computer simulations
Keywords :
learning (artificial intelligence); neural nets; signal detection; signal sources; abstract rigid mechanical system dynamics; blind source separation; computer simulations; learning models; neural learning;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:19991322
