DocumentCode :
2178663
Title :
Noise Load Adaptive Filter Using Neural Network
Author :
Jagannatha Reddy, M.V. ; Gupta, Saroj Kumar ; Kavitha, B.
Author_Institution :
Dept. of CSE, Madanapalle Inst. of Technol. & Sci., Madanapalle, India
fYear :
2010
fDate :
9-10 Feb. 2010
Firstpage :
197
Lastpage :
200
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.
Keywords :
Gaussian noise; adaptive filters; operational amplifiers; Gaussian area; OPAMP circuit; environment noise load filtering; neural network; noise load adaptive filter; Adaptive filters; Band pass filters; Circuit noise; Filtering; Neural networks; Neurons; Noise reduction; Signal to noise ratio; Wiener filter; Working environment noise; Adaptation; Mean square error matrix; OPAMP; signal to noise ratio; wiener filter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Storage and Data Engineering (DSDE), 2010 International Conference on
Conference_Location :
Bangalore
Print_ISBN :
978-1-4244-5678-9
Type :
conf
DOI :
10.1109/DSDE.2010.29
Filename :
5452606
Link To Document :
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