research-article

Adaptive noise cancellation for system with multi channel modulation using BPNN

Authors:

Pankaj Vyas,

Paresh Rawat,

Ankita Chouhan,

Garima UpretiAuthors Info & Claims

IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia

Pages 140 - 144

https://doi.org/10.1145/1963564.1963588

Published: 27 December 2010 Publication History

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Abstract

Signals acquired through any modern sensors suffer from variety of noises resulting from stochastic variations and deterministic distortions or shading. Hence it is desired to smooth the noisy signal to obtain a signal with higher quality. The paper proposed a neural network based adaptive noise cancellation technique for a system with multichannel modulation. Noise cancellation is then performed on the noisy signals by using the BACK PROPAGATION neutral network & performance is compared with the ADALINE method, the performance, evaluation of the results are based on estimated error.

The performance of the system is also checked by varying the learning rate and momentum and order of the filtering. The proposed method is tested on large variety of multichannel signals. It is found that the performance of the Back-propagation is better than ADALINE in term of mean Square error.

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Cited By

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Zafar TKamal KSheikh ZMathavan SAli UHashmi H(2017)A neural network based approach for background noise reduction in airborne acoustic emission of a machining processJournal of Mechanical Science and Technology10.1007/s12206-017-0606-231:7(3171-3182)Online publication date: 1-Aug-2017
https://doi.org/10.1007/s12206-017-0606-2

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Adaptive noise cancellation for system with multi channel modulation using BPNN

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Information

Published In

IITM '10: Proceedings of the First International Conference on Intelligent Interactive Technologies and Multimedia

December 2010

355 pages

ISBN:9781450304085

DOI:10.1145/1963564

Editors:
M. D. Tiwari
IIIT Allahabad, India
,
R. C. Tripathi
IIIT Allahabad, India
,
Anupam Agrawal
IIIT Allahabad, India

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 December 2010

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IITM '10

IITM '10: First International Conference on Intelligent Interactive Technologies and Multimedia

December 27 - 30, 2010

Allahabad, India

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Zafar TKamal KSheikh ZMathavan SAli UHashmi H(2017)A neural network based approach for background noise reduction in airborne acoustic emission of a machining processJournal of Mechanical Science and Technology10.1007/s12206-017-0606-231:7(3171-3182)Online publication date: 1-Aug-2017
https://doi.org/10.1007/s12206-017-0606-2

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Efficient Narrowband Noise Cancellation System Using Adaptive Line Enhancer

The Research of Adaptive Noise Cancellation Technology Based on Neural Network

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