A natural gradient based algorithm for multichannel blind deconvolution of post-nonlinear mixtures is proposed.
给出了一个基于自然梯度的后非线性多信道盲解卷算法。
Simulation results show that the natural gradient approach has faster convergence speed and better separation performance than the conventional gradient based algorithm.
仿真结果显示，自然梯度算法比传统梯度算法收敛速度更快，分离效果更好。
Based on building up a model of echo canceller, the convergence of gradient-type stochastic adjustment algorithm of an adaptive filter under the mean-squared error criterion is discussed.
在建立回波抵消器模型的基础上，按最小均方误差准则，导出了自适应滤波器抽头的统计梯度算法和抽头调节的收敛公式。
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