An Adaptive Algorithm for Calculating Crosstalk Error for Blind Source Separation

Rongling LANG; Wanyang YE; Fei ZHAO; Zi LI

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An Adaptive Algorithm for Calculating Crosstalk Error for Blind Source Separation

机译：一种计算盲源分离串扰误差的自适应算法

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摘要

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.

机译：串扰误差被广泛用于评估盲源分离的性能。但是，它需要提前了解全局分离矩阵，并且它不稳定。为了解决这些问题，提出了一种用于计算串扰误差的新自适应算法，其通过最小二乘标准的成本函数计算串扰误差，并且通过引入最大值的位置信息来提高串扰误差的鲁棒性在全局分离矩阵中。最后，在性能，鲁棒性和收敛速率方面将该方法与传统的RLS算法进行比较。此外，通过模拟实验和现实世界信号实验验证其有效性。

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来源
《Informatica》 |2020年第2期|299-312|共14页
作者
Rongling LANG; Wanyang YE; Fei ZHAO; Zi LI;
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作者单位

School of Electronics and Information Engineering Beihang University Beijing 100191 China;

School of Electronics and Information Engineering Beihang University Beijing 100191 China;

School of Electronics and Information Engineering Beihang University Beijing 100191 China;

Department of Foreign Languages Huaiyin Institute of Technology Huai'an Jiangsu 223001 China;

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收录信息美国《科学引文索引》(SCI);
原文格式 PDF
正文语种 eng
中图分类
关键词
blind source separation; crosstalk error; global separation matrix; robustness;

机译：盲来源分离;串扰错误;全局分离矩阵;鲁棒性;

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专利

1. A multi-variate blind source separation algorithmA multi-variate blind source separation algorithm [J] . Goldhacker M., Keck P., Igel A., Computer Methods and Programs in Biomedicine: An International Journal Devoted to the Development, Implementation and Exchange of Computing Methodology and Software Systems in Biomedical Research and Medical Practice . 2017,第期

机译：多变盲源分离算法多变型盲源分离算法
2. Time-Domain Convolutive Blind Source Separation Employing Selective-Tap Adaptive Algorithms [J] . Qiongfeng Pan, Tyseer Aboulnasr EURASIP journal on audio, speech, and music processing . 2007,第1期

机译：采用选择性抽头自适应算法的时域卷积盲源分离
3. Adaptive nonlinear PCA algorithms for blind source separation without prewhitening [J] . Xiao-Long Zhu, Xian-Da Zhang, Zi-Zhe Ding, IEEE transactions on circuits and systems . I , Regular papers . 2006,第3期

机译：自适应非线性PCA算法，无需预增白即可实现盲源分离
4. Mean square error analyses of adaptive blind source separation algorithms [C] . Xiaoan Sun, Douglas, S.C. . 2001

机译：自适应盲源分离算法的均方误差分析
5. New algorithms for blind equalization and blind source separation/phase recovery. [D] . Thaiupathump, Trasapong. 2002

机译：用于盲均衡和盲源分离/相位恢复的新算法。
6. Spatiospectral decomposition of multi-subject EEG: evaluating blind source separation algorithms on real and realistic simulated data [O] . David A. Bridwell, Srinivas Rachakonda, F. Silva Rogers, -1

机译：多主体脑电图的空间谱分解：基于真实和真实模拟数据评估盲源分离算法
7. An Adaptive Algorithm for Calculating Crosstalk Error for Blind Source Separation [O] . Rongling Lang, Wanyang Ye, Fei Zhao, 2020

机译：一种计算盲源分离串扰误差的自适应算法
8. Fast Fixed-Point Algorithms for Bayesian Blind Source Separation [R] . Lappalainen, H. 1999

机译：贝叶斯盲源分离的快速定点算法

An Adaptive Algorithm for Calculating Crosstalk Error for Blind Source Separation

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