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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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This Filter provides a selective mean (averaging) lter. In contrast to the standard mean lter,it preserves edges better and is less sensitive to outliers(outliers are those that are not included in the measurement taking place.In this case averaging). The lter smooths an image by taking an average over the neighbouring pixels, but only includes those pixels that have a value not deviating from the current pixel by more than a given range. The range is dened by the standard deviation of the pixel values within the neighbourhood . If the number of pixels in this range is too low (less than `Minimum Pixel Fraction ), averaging over all neighbouring pixels is performed.With the `Outlier Aware option, averaging over all neighbouring pixels excludes the center pixel.

2012-02-07 01:30:23下载

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KalmanAdptiveFilter

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