Noise Load Adaptive Filter Using Neural Network

 

1Saroj Kumar Gupta  2 Surya Bahadur

 

 1Department of Computer Science and Engineering, Madanapalle Institute of Technology and  

   Science, Madanapalle, Chittoor (dist.), A.P., India  sarojkumargupta@gmail.com

 2Department of Computer Science and Engineering, Madanapalle Institute of Technology and  

    Science, Madanapalle, Chittoor (dist.), A.P., India surya.bahadur@gmail.com                                                          

 

 

ABSTRACT:

 

This research paper, we deals with the implementation of environment noise load filtering using neural network (adaptation method). The proposed method has an advantage of dealing with not only perform load but also to reduce the noise of environment. In this research paper we have used advance technique to find load considering on each Gaussian area for neural computing and filtering noise such that, it should not disturb any other existing signal like telephone signal etc.  Linear adaptation filter as OPAMP circuit used to filter noise using proposed method.

 

KEY WORDS:  Adaptation, wiener filter, OPAMP, convolution based filters, Mean square error matrix, signal to noise ratio. 

 

 

International eJournal of Mathematics and Engineering

Volume 1, Issue 2, Pages 115-121