Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology

Modeling and Simulation of RLS for Adaptive Noise Cancellation

Authors
Zhongyu Hu, Qiang Yue, Weiming Chen
Corresponding Author
Zhongyu Hu
Available Online March 2016.
DOI
10.2991/icmmct-16.2016.3How to use a DOI?
Keywords
adaptive noise cancellation; RLS algorithm; MATLAB simulation.
Abstract

In this paper, an adaptive noise cancellation system based on RLS algorithm is presented, and the principle of noise cancellation system and the steps and processes of RLS algorithm are described. The simulation of adaptive noise cancellation system based on RLS algorithm is obtained by using an example. The simulation results show that the RLS adaptive filter can effectively eliminate the interference and get useful signal in two cases of single frequency interference and broadband noise. It is proved that the adaptive noise cancellation system based on RLS algorithm can eliminate the noise and improve the signal quality of speech communication in the communication processing of speech signal.

Copyright
© 2016, 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
Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
Series
Advances in Engineering Research
Publication Date
March 2016
ISBN
978-94-6252-165-0
ISSN
2352-5401
DOI
10.2991/icmmct-16.2016.3How to use a DOI?
Copyright
© 2016, 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  - Zhongyu Hu
AU  - Qiang Yue
AU  - Weiming Chen
PY  - 2016/03
DA  - 2016/03
TI  - Modeling and Simulation of RLS for Adaptive Noise Cancellation
BT  - Proceedings of the 2016 4th International Conference on Machinery, Materials and Computing Technology
PB  - Atlantis Press
SP  - 12
EP  - 16
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmmct-16.2016.3
DO  - 10.2991/icmmct-16.2016.3
ID  - Hu2016/03
ER  -