NDLI: Intelligent Adaptive Noise Cancellation using Cascaded Correlation Neural Networks

Content Provider	IEEE Xplore Digital Library
Author	Dheeba, J. Padma, A.
Copyright Year	2007
Description	Author affiliation: Dept. of Comput. Sci. & Eng., Anna Univ., Chennai (Dheeba, J.; Padma, A.)
Abstract	A novel adaptive noise cancellation algorithm using cascaded correlation neural networks is described. In the proposed algorithm the objective is to filter out an interference component by identifying the non-linear model between a measurable noise source and the corresponding immeasurable interference. In many situations a linear model performs outstandingly. However a linear model does not perform well for situations where nonlinear phenomena occur. Hence there is a need of nonlinear filtering approach. The neural networks have been a predominant technology for intelligent control for many years. The cascaded correlation neural network algorithm has the powerful capabilities of learning and adaptation. By virtue of the learning ability, neural networks can be adapted to constantly changing environments. Two inputs, single output cascaded neural networks are used to develop the system, which eliminates the random noise, which is mixed with the test signal. Results of simulation studies using different noise sources and noise passage dynamics show that superior performance can be achieved using the proposed techniques
Starting Page	178
Ending Page	182
File Size	5056875
Page Count	5
File Format	PDF
ISBN	1424409969
DOI	10.1109/ICSCN.2007.350726
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2007-02-22
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Intelligent networks Adaptive systems Filters Filtering Working environment noise Neural networks Interference Noise cancellation Noise measurement Intelligent control
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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