首先提出了一种解决盲辨识问题的算法，然后利用辨识得到的系统模型对源输入信号进行反卷积恢复。
The blind inverse identification arithmetic is proposed firstly, and then the input source signal is restored by the deconvolution method using the identified system model.
利用递推最小二乘法进行了系统系数辨识，并引入遗忘因子以提高TCS的模型跟踪性能。
System parameters were identified by adapting recursion least square method, and the forgetting factor was introduced to improve the model tracing ability of TCS.
该文提出一种用于复杂的非线性未知系统辨识的混合神经网络模型—自适应模糊神经网络(AFNN)。
This paper presents a compound neural network model, i. e., adaptive fuzzy neural network (AFNN), which can be used for identifying the complicated nonlinear system.
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