Present algorithm treats the length of impulse response sequence constant when identifying the model of object.
在辨识被控对象的脉冲响应模型时,现有算法是建立在其脉冲响应序列长度不变的基础上.
In the end, we apply EM Algorithm with those improvements ( A-ECM and AKF) in identifying the high dimension gene regulatory network and solving the time-varying noise correlation matrices case.
最后,在基因序列分析中应用以上改进的EM算法来处理高维数和噪声时变情况下基因规则网络的估计问题,取得了良好的效果。
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