cclog

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)

自己总结的MATLAB命令，很实用，尤其是搞数值计算时候！(Own summary of the MATLAB command, it is useful, especially when engaged in numerical calculation!)

利用小波的消噪功能检测微弱的故障突变信号。(Using wavelet denoising function mutation detection of weak signals fault.)

自己编写的matlab简单计算，用于计算矩阵的加减乘与求逆，特征行列式等(I have written matlab simple calculation used to calculate the matrix addition and subtraction, multiplication and inversion, characteristic determinant, etc.)

LeetCode OJ:Search in Rotated Sorted Array

多目标蝗虫优化算法源代码,benchmark函数优化，测试效果好。(Multi-objective Grasshopper Optimization Algorithm (MOGOA) source codes)

Matlab详细手册Matlab详细手册Matlab详细手册Matlab详细手册(Matlab user book)

通过反馈网络的自适应学习算法自我修正阈值和连接权值等参数(Through the feedback network of the adaptive learning algorithm for self-correction threshold and connection weights and other parameters)

几种验证代理模型精度时常用的多项式函数。程序可在matlab中绘制相应函数图形，计算对应点处函数值，后续在代理模型中可以验证代理模型精度。(Several verification surrogated models accuracy is commonly used when polynomial functions are used. The program can draw the corresponding function graph in MATLAB, calculate the function value at the corresponding point, and then verify the accuracy of the agent model in the proxy model.)

本程序用来求有向网络中的最大流和最小费用的问题。这里最小费用是在可能有多个最大流的基础上优化得到的。故前提条件是最大流，如果没有没有最大流，可以不运输，成本为0，那就没有意义了。(This program used to beg for the maximum flow to the network and the minimum cost. Here is the minimum cost in May have multiple maximum flow based on optimization get. So premise condition is maximum flow, if no no maximum flow, can not transport, the cost of 0, that is no sense. )