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Matlab多级非线性加权平均中值滤波算法代码，能解决一般的问题(Matlab nonlinear weighted average multi-level median filtering algorithm code, can solve the general problem)

平均标准偏差，一个计算用的Matlab小程序，希望大家喜欢(The average standard deviation, a calculation using a small Matlab program, I hope everyone likes)

图像配准，用MATLAB实现图像的配准，附有学习资料及完整代码，可直接运行。(image registration by matlab)

说明：  GSM系统卷积码和交织编码在突发信道和AWGN信道误码特性(GSM system convolutional code and interleaved coded in the emergency channel and AWGN channel BER performance)

This paper not only shows the basics of signal processing.

时间序列分析，AR模型，用于流数据预测与滤波 输入参数：y为原始数据矩阵，p为AR模型的阶数，la为自回归模型的遗忘系数 输出参数：预测值，置信区间，离群点等(Time series analysis, AR model for prediction and filtering data stream input parameters: y original data matrix, p is the order of the AR model, la self-forgetting coefficient regression model output parameters: predictive value, confidence intervals, outlier points)

数据关联是多目标跟踪的一项关键技术。JPDA是大家公认的多目标跟踪中性能较好的数据关联算法，它 认为量测和目标是一一对应的关联关系，但在许多实际情况中，量测和目标是多一多对应的关系。针对上述情况，该文提 出了广义概率数据关联算法(Generalized Probability Data Association，GPDA)。文中从理论上对这两种算法的性能进行了 详细分析，并利用Monte Carlo技术对其性能进行了仿真比较。(Data association is one of the key technologies in multi—target tracking．And JPDA is considered as the best da· ta association method．JPDA considers the association of measurements with targets is simply one-to-one problem．But in many practical cases，the association of measurements with targets will be multiple—to—multiple problem．For this case，a Generalized Probability Data Association(GPDA)algorithm is proposed in this paper．Furthermore，this paper analyzes the performance of these two algorithms theoretically．And we give the comparative analysis of those performances by using Monte Carlo method．)

自适应滤波算法与实现matlab_algorithmsiir1(Adaptive Filtering Algorithm and Implementation matlab_algorithms iir1)

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DC Motor Speed Control With Chopper Based on IGBT-Module