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KalmanAdptiveFilter

于 2009-10-23 发布
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说明:  卡尔曼滤波器是用前一个估计值和最近一个观察数据估计信号的值,他是用状态方程和递推的方法进行估计,本例用来追踪一个5阶的FIR不确定的滤波器系数。(Kalman filter is to use the previous estimate and the most recent observation data to estimate the value of the signal, he is using the state equation and recursive estimation methods, in this case is used to track a 5-order FIR filter coefficients of uncertainty.)

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    该文件能够实现盲信号的分离,分离效果很好,输入为两种信号的非线性叠加,经过仿真效果很明显!(The document can achieve blind signal separation, separation a good effect, input non-linear superposition of two kinds of signals, through simulation effect is obvious!)
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    积分:1
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