通过在控制过程中分别对控制网络和模型网络进行自适应,解决了控制对象参数的时变问题,显著改善了整个系统的鲁棒性。
With separately adapting of the control network and the model network in control, the problem of time-variance of plant parameters is solved, and the robustness of whole system is improved obviously.
介绍了自适应回声消除器的基本结构及各个功能模块,例如:变阶数自适应滤波器,语音状态检测器,延迟分析器和NL MS算法控制器。
The structure of AEC as well as its composing modules, are introduced such as the speech detector, the adaptive filter, the time delay estimator and the NLMS algorithm controller.
将该跟踪算法与SVD -esprit算法相结合,得到的自适应esprit算法可用于对时变的信号DOA进行跟踪估计。
With combination of the above subspace tracking algorithm with SVD- ESPRIT algorithm, an adaptive ESPRIT algorithm is presented to track the time varying DOAs.
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