Title :
An efficient model for systems with complex responses [neural network architecture for nonlinear filtering]
Author :
Tresp, Volker ; Leuthäusser, Ira ; Schlang, Martin ; Neuneier, Ralph ; Abraham-Fuchs, Klaus ; Härer, Wolfgang
Author_Institution :
Siemens AG, Munchen, Germany
fDate :
31 Aug-2 Sep 1992
Abstract :
Presents a neural network architecture for a restricted class of nonlinear filtering applications. The filter architecture is particularly suited for biomedical and technical applications that require long and complex system responses. The filter architecture was successfully used in a biomedical application for the removal of the cardiac interference from magnetoencephalographic (MEG) data and performed better than standard linear filters and the time-delay neural network
Keywords :
adaptive filters; biomagnetism; brain; interference suppression; medical signal processing; neural nets; MEG; biomedical application; cardiac interference removal; complex responses; magnetoencephalographic data; neural network architecture; nonlinear adaptive filters; nonlinear filtering; Biomedical engineering; Filtering; Finite impulse response filter; Interference cancellation; Magnetic separation; Neural networks; Nonlinear equations; Nonlinear filters; Research and development; Speech recognition;
Conference_Titel :
Neural Networks for Signal Processing [1992] II., Proceedings of the 1992 IEEE-SP Workshop
Conference_Location :
Helsingoer
Print_ISBN :
0-7803-0557-4
DOI :
10.1109/NNSP.1992.253663
