ADRC

递归式最小均方（RLS）算法的基本思想是力图使在每个时刻对所有已输入信号而言重估的平方误差的加权和最小，这使得RLS算法对非平稳信号的适应性要好。与LMS算法相比，RLS算法采用时间平均，因此，所得出的最优滤波器依赖于用于计算平均值的样本数，而LMS（NLMS）算法是基于集平均而设计的，因此稳定环境下LMS（NLMS）算法在不同计算条件下的结果是一致的(Recursive least-mean-square (RLS) algorithm for the basic idea is to try to make in every moment of all the input signal in terms of re-evaluation of the weighted squared error and the smallest, which allows non-stationary RLS algorithm for adaptive signal better. Compared with the LMS algorithm, RLS algorithm uses the average time, therefore, the resulting optimal filter depends on the used to calculate the average number of samples, and the LMS (NLMS) algorithm is designed based on set average, and therefore a stable environment LMS (NLMS) algorithm in different conditions, the results of the calculation is consistent)

VC调用matlab画图，需要安装matlab(VC call matlab to draw fig)

说明：  利用matlab求解线性规划与非线性规划(Using matlab for solving linear programming and nonlinear programming)

Matlab code to obtain MAC address or physical Address of PC

matlab 课程实习 第五章 答案 附源码(Chapter matlab courses internship answer with source code)

牛顿插值算法的小程序。牛顿插值算法，比一般的Interpolation精度高一些，使用较为广泛。(Newton interpolation method, which is widely used.)

主要应用于两幅图片比对时，对两幅图片进行校准(Mainly used in the two pictures, two pictures calibration)

its a mathmatica doc for gamma function

lte code fore simulation with matlab

一维的求根多重信号分类算法Root-MUSIC，在matlab环境下实现(One-dimensional root finding multiple signal classification algorithm Root-MUSIC, in the matlab environment to achieve)