The Neural Impulse Response Filter
نویسندگان
چکیده
The neural network filter architecture presented in this paper is well suited for a restricted class of nonlinear adaptive filter applications. Our filter can model systems with long time responses and it is able to learn to take into account additional parameters that influence the filter response nonlinearly. Our filter was successfully used in a biomedical application for the removal of the cardiac interference from magnetoencephalographic (MEG) data.
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