The problem of blind separation of signals in post nonlinear mixture is addressed in this paper.
本文研究了后非线性混合信号的盲分离。
The problem of blind separation of signals in post-nonlinear mixture is addressed. The learning rules for the general post-nonlinear separation structure are derived by a maximum likelihood approach.
研究后非线性混合信号的盲分离，从最大似然角度推导了一般后非线性分离结构的学习公式；
The separability and separating conditions for mixed signals are analyzed in this paper. The limitation of nonlinear blind source separation methods is proposed.
该文分析了非线性混叠信号的可分离性及分离条件，指出现阶段非线性混叠信号盲分离的局限性。
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