2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)

Adaptive noise cancellation system elimination of sinusoidal interference

Authors
Li-Min Feng, Wei He, Hua-Fu Li, Xing-Tuan Yang
Corresponding Author
Li-Min Feng
Available Online August 2016.
DOI
10.2991/eesed-16.2017.35How to use a DOI?
Keywords
Adaptive Noise; Filter; Attenuation; Sinusoidal Interference
Abstract

Adaptive noise cancellation technology to eliminate background noise is a signal processing technique and a specific application of theoretical processing. Adaptive filter and the corresponding adaptive algorithm is the core component of Adaptive Noise System, With an appropriate algorithm based on adaptive filtering theory for data processing .In the paper, Abandoning the common trap after having some knowledge about adaptive filters and adaptive algorithm ,then using adaptive filter of second order LMS to eliminate sinusoidal interference for different parameters and different signal simulation and using MATLAB sinusoidal to complete the study of Adaptive noise cancellation system eliminates sinusoidal interference.

Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)
Series
Advances in Engineering Research
Publication Date
August 2016
ISBN
978-94-6252-309-8
ISSN
2352-5401
DOI
10.2991/eesed-16.2017.35How to use a DOI?
Copyright
© 2017, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Li-Min Feng
AU  - Wei He
AU  - Hua-Fu Li
AU  - Xing-Tuan Yang
PY  - 2016/08
DA  - 2016/08
TI  - Adaptive noise cancellation system elimination of sinusoidal interference
BT  - 2nd Annual International Conference on Energy, Environmental & Sustainable Ecosystem Development (EESED 2016)
PB  - Atlantis Press
SP  - 265
EP  - 270
SN  - 2352-5401
UR  - https://doi.org/10.2991/eesed-16.2017.35
DO  - 10.2991/eesed-16.2017.35
ID  - Feng2016/08
ER  -