...盲源信号分离 顶煤 [gap=649]Keywords : overcomplete ICA;coal and rock interface identification;blind source separation;top coal ...
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This thesis is concerned with problems of dual adaptive control and Blind Source Separation.
本文主要研究了对偶自适应控制和盲源信号分离两大问题。
参考来源 - 对偶自适应控制与BSS问题研究·2,447,543篇论文数据，部分数据来源于NoteExpress
由于关于混合信号的信息完全未知，因此将该过程称为盲源信号分离。
Except that the source signals are assumed to be independent, no apriori information is known about the mixture signals. That is why the problem is known as Blind Source Separation.
本文基于一个全连接递归网络结构，给出一种新的信息理论的盲源信号分离准则。
A new information theory criterion for blind source separation based on a recurrent neural network is proposed.
实验表明在盲源信号分离中，基于核空间的ICA与其他典型ICA和PCA算法相比更具有准确性和鲁棒性。
The result of experiment shows that KICA is more accurate and robust than other conical ICA and PCA in the BBS.
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