Proceedings of the 2018 3rd Joint International Information Technology,Mechanical and Electronic Engineering Conference (JIMEC 2018)

Signal Separation Based on Extended Least Squares

Authors
Liuyang Gao, Song Chen, Yinghua Tian, Jiaying Yue
Corresponding Author
Liuyang Gao
Available Online December 2018.
DOI
10.2991/jimec-18.2018.51How to use a DOI?
Keywords
signal separation; least squares; Kullback-Leibler divergence.
Abstract

In this paper, a new signal separation method is proposed in this paper to solve the problem of poor separation effect of mixed signals in strong noise environment. Based on least squares (LS), the improved optimization model is extended by Kullback-Leibler dispersion to remove the random noise. Theoretical analysis and simulation experiments show that the algorithm proposed in this paper is superior to the existing algorithm in estimating the source signal, especially when the mixed signal is completely immersed in noise, the recovery effect of the source signal is more obvious than the existing algorithm.

Copyright
© 2019, 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 2018 3rd Joint International Information Technology,Mechanical and Electronic Engineering Conference (JIMEC 2018)
Series
Atlantis Highlights in Engineering
Publication Date
December 2018
ISBN
10.2991/jimec-18.2018.51
ISSN
2589-4943
DOI
10.2991/jimec-18.2018.51How to use a DOI?
Copyright
© 2019, 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  - Liuyang Gao
AU  - Song Chen
AU  - Yinghua Tian
AU  - Jiaying Yue
PY  - 2018/12
DA  - 2018/12
TI  - Signal Separation Based on Extended Least Squares
BT  - Proceedings of the 2018 3rd Joint International Information Technology,Mechanical and Electronic Engineering Conference (JIMEC 2018)
PB  - Atlantis Press
SP  - 238
EP  - 241
SN  - 2589-4943
UR  - https://doi.org/10.2991/jimec-18.2018.51
DO  - 10.2991/jimec-18.2018.51
ID  - Gao2018/12
ER  -