kalman

cc方法是实现相空间重构时用来计算重构维数和时间延迟的方法，我在这里只是试一试(ccmethod medisine and time delay we implement the program，the word is too leate to upload,so i have to add something to it.i can not do well in english.,)

局域均值分解的程序，此为经验模态分解方法的另一种改进，此方法能够减小端点效应的影响，但是模态混叠问题还是没有得到完全抑制(Local mean decomposition process, this is the empirical mode decomposition method is another improvement, this method can reduce the effect of the endpoint, but the modal aliasing problem has still not been completely suppressed)

分形维数的计算 ，分形理论逐渐实用，该程序会对大家有帮助的 (Calculation of the fractal dimension, fractal theory gradually utility, the program to be of help)

Effective mathematical model of IPMSM with PI controller as speed controller. Good for comparison & simulation results.

自己写的一个计算时频分布的程序,可知指定Cohen类分布类型WVD，CWD，PWVD(Himself wrote a calculation procedure for time-frequency distribution shows the distribution of the type specified Cohen category WVD, CWD, PWVD)

Android Battery Dog手機電量監控介面原始碼(Cell phone battery monitoring interface)

简单KNN算法，基于MATLAB，适合初学者。(simple Knn )

该算法基本思想是利用一组带有相应权值的随机样本即粒子去逼近PHD分布和基数分布，其意义在于不仅解决重积分计算没有闭式解的难题，而且在滤波过程中，PHD函数被一系列离散的带权值的样本近似，随着样本粒子数量的增加，PHDF接近于Bayes最优估计，而且不受模型线性和高斯假设的限制，可以适用于非线性非高斯的随机系统。(The algorithm the basic idea is to use a set of random sample with the corresponding weight namely particle approximation PHD and base distribution, its significance lies in not only solve the problem of multiple integral calculation without closed solution, and in the process of filtering, PHD function by a series of discrete weighted value of sample approximation, with the increase of sample particles, PHDF close to the Bayes optimal estimation, and is not subject to the assumptions of the linear and gaussian model can be applied to nonlinear non-gaussian stochastic system.)

the problem Matlab.pdf 这是个对于初学者很有用的 希望大家都能学好matlab(the problem Matlab.pdf This is very useful for beginners I hope people will learn matlab)

这个程序主要编写了误码率和信道容量两个主程序和部分子程序(This program is mainly to write the bit error rate and channel capacity of two main program and part of the subroutine)