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Transpose Properties in the Stability and Performance of the Classic Adaptive Algorithms for Blind Source Separation and Deconvolution

机译：经典的盲源分离和反卷积自适应算法的稳定性和性能中的转置特性

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Thomas P. von Hoff; Allen G. Lindgren; August N. Kaelin;
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年度 2000
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1. Transpose properties in the stability and performance of the classic adaptive algorithms for blind source separation and deconvolution [J] . Thomas P. von Hoff, Allen G. Lindgren, August N. Kaelin Signal processing . 2000,第9期

机译：经典的盲源分离和反卷积自适应算法的稳定性和性能中的转置特性
2. The Performance Evaluation of Classic ICA Algorithms for Blind Separation of Fabric Defects [J] . Hailan Zhang, Zhonghao Cheng Journal of fiber bioengineering and informatics . 2014,第3期

机译：经典ICA算法盲分离织物缺陷的性能评估。
3. Blind Source Separation and Deconvolution: The Dynamic Component Analysis Algorithm [J] . Attias H, Schreiner C Neural computation . 1998,第6期

机译：盲源分离和反卷积：动态分量分析算法
4. STABILITY AND PERFORMANCE OF ADAPTIVE ALGORITHMS FOR MULTICHANNEL BLIND SEPARATION AND DECONVOLUTION [C] . Allen G. Lindgren, Thomas P. von Hoff, August N. Kaelin Signal Processing X: Theories and Applications . 2000

机译：多通道盲分离和反卷积的自适应算法的稳定性和性能
5. Performance evaluation of various contrast functions used in fast ICA algorithm for Blind Source Separation [D] . Tadepally, Raja Dinesh. 2010

机译：快速ICA算法用于盲源分离的各种对比度函数的性能评估
6. Performance of Blind Source Separation Algorithms for FMRI Analysis using a Group ICA Method [O] . Nicolle Correa, Tülay Adali, Vince D. Calhoun -1

机译：使用组ICA方法进行FMRI分析的盲源分离算法的性能
7. Stability And Performance Of Adaptive Algorithms For Multichannel Blind Separation And Deconvolution [O] . Lindgren Allen G., Von-Ho Thomas P., Kaelin A. 2015

机译：多通道盲分离与反卷积自适应算法的稳定性和性能

Transpose Properties in the Stability and Performance of the Classic Adaptive Algorithms for Blind Source Separation and Deconvolution

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