Research Article
Research on Non-stationary Blind Separation Method for Unfixed Signal Based on Extended Joint Diagonalization
@INPROCEEDINGS{10.4108/eai.27-8-2020.2294590, author={jun li and Xin-Yuan Chen}, title={Research on Non-stationary Blind Separation Method for Unfixed Signal Based on Extended Joint Diagonalization }, proceedings={Proceedings of the 13th EAI International Conference on Mobile Multimedia Communications, Mobimedia 2020, 27-28 August 2020, Cyberspace}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2020}, month={11}, keywords={extended joint diagonalization; nonstationary signal; underfixed blind separation; number of iterations}, doi={10.4108/eai.27-8-2020.2294590} }
- jun li
Xin-Yuan Chen
Year: 2020
Research on Non-stationary Blind Separation Method for Unfixed Signal Based on Extended Joint Diagonalization
MOBIMEDIA
EAI
DOI: 10.4108/eai.27-8-2020.2294590
Abstract
In order to solve the problem of signal instability caused by the number of iterations of the traditional nonstationary signal underfixed blind separation method, a nonstationary signal underfixed blind separation method based on extended combined diagonalization method is studied. Firstly, the second-order correlation matrix is extended to the fourth-order accumulation by the extended joint diagonalization method, the linear time-frequency variation of the nonstationary signal is analyzed, the uncertain part of the nonstationary signal is calculated, the function expression of the source signal is obtained, and the time-domain and frequency-domain changes in the function expression of the iterative source signal are obtained. The experimental results show that compared with the traditional separation method, the nonstationary signal underfixed blind separation method based on extended joint diagonalization method has the least number of iterations, and the isolated signal is the most stable.