Title :
On generalized adaptive neural filters with application to enhancing EKG signals
Author :
Zhang, Zeeman Z. ; Ansari, Nirwan
Author_Institution :
Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
Abstract :
A class of nonlinear adaptive filters called generalized adaptive neural filters (GANFs) developed to generalize stack filters to a larger class of nonlinear filters and to outperform stack filters is discussed. They are based on the theory of stack filters and neural networks. It is shown that GANFs have better noise suppression performance than stack filters. The implementation of GANFs is discussed, and the theoretical analysis in regards to the performance of GANFs on EKG signal processing is also presented
Keywords :
adaptive filters; electrocardiography; interference suppression; medical signal processing; nonlinear filters; perceptrons; EKG signal processing; generalized adaptive neural filters; noise suppression performance; nonlinear adaptive filters; stack filters; Adaptive filters; Adaptive signal processing; Additive white noise; Application software; Biomedical engineering; Biomedical signal processing; Gaussian noise; Neurons; Nonlinear filters; Signal processing;
Conference_Titel :
Bioengineering Conference, 1993., Proceedings of the 1993 IEEE Nineteenth Annual Northeast
Conference_Location :
Newark, NJ
Print_ISBN :
0-7803-0925-1
DOI :
10.1109/NEBC.1993.404400
