ACI_cnes.m

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．)

我们可以用这个程序来计算信息论中的一个重要的概念，即数据的冗余度(we can use it to calculate the recedency)

回归分析算法源程序和实例讲解，十分具体，对此算法的掌握很有帮助(Regression analysis algorithm source code and examples to explain, very specific, this algorithm to master very helpful)

信号的循环卷积，离散傅里叶变换，产生理想低通滤波器h(n)的函数(Signal of the circular convolution, discrete Fourier transform, resulting in an ideal low-pass filter h (n) function)

已知信号的m(t)dsb-am调制 ~~~~~~~~~~~~~~~~~~~~~~~~~~··(dsb-am)

该函数用来计算时间序列的最大Lyapunov 指数--Wolf 方法(This function is used to calculate the maximum Lyapunov exponent of time series- Wolf Method)

此代码为混沌相空间重构的代码，对学混沌学的朋友很有处(This code is a chaotic phase space reconstruction of the code, the school is very chaotic at the school' s friends)

mohasebate addadi,determain,...

kirchhoff matlab 实现方法 kirchhoff matlab 实现方法 kirchhoff matlab 实现方法(kirchhoff matlab implementation kirchhoff matlab implementation kirchhoff matlab implementation)

说明：  一个MPC实例:自动驾驶的汽车；一说明不符合要求,请认真详细地书写，否则将不通过(A MPC TEST about car driving A MPC TEST about car driving)