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An Adaptive Algorithm for Calculating Crosstalk Error for Blind Source Separation
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AI
DOI：10.15388/20-INFOR387.png)
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The crosstalk error is widely used to evaluate the performance of blind source separation. However, it needs to know the global separation matrix in advance, and it is not robust. In order to solve these problems, a new adaptive algorithm for calculating crosstalk error is presented, which calculates the crosstalk error by a cost function of least squares criterion, and the robustness of the crosstalk error is improved by introducing the position information of the maximum value in the global separation matrix. Finally, the method is compared with the conventional RLS algorithms in terms of performance, robustness and convergence rate. Furthermore, its validity is verified by simulation experiments and real world signals experiments.
Keyword:
blind source separation
crosstalk error
global separation matrix
robustness
期刊
IF:
2.8
论文数:
402
被引数:
1.0K
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