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matlab环境下估计算法pisarenkosus的实现，有不错的实验效果(matlab environment estimation algorithm pisarenkosus implementation, there is a good experimental results)

实现信号的SVD 分解,对信号中的奇异性进行监测，对突变信号点也可以很好监测(to complete the SVD for signals，Singularity of signal monitoring, signal monitoring point can be very good for mutations)

Matlab编写的，利用 SA算法解决VRP问题(Matlab prepared using the SA algorithm to solve the VRP)

c++实现的通信录，实现添加、删除、查找、修改等功能(communications recorded c++ implemented add, delete, search, modify functions)

任务： 1） 借助MATLAB画出误差性能曲面和误差性能曲面的等值曲线（参考PPT2.1第17页的两幅图）； 2） 写出最陡下降法以及LMS算法的计算公式（取 ）； 3） 用MATLAB产生方差为0.05, 均值为0白噪音S(n)，并画出某次采样得到的波形（即产生任意一个噪声随机序列）； 4） 根据 2）中的公式，并利用 3）中产生的S(n)，在 1）中的误差性能曲面的等值曲线上叠加画出采用最陡下降法以及LMS法时H(n)的在叠代过程中的轨迹曲线（参考PPT2.1第17页的右下图的曲线1和曲线2）。 5）用MATLAB计算并画出LMS法时 随时间n的变化曲线（对应S(n)的某一次的一次实现）和e(n)波形； 注意：某一次实现的结果并不能从统计的角度反映实验的结果 的正确性，为得到具有统计特性的实验结果，可用足够多次的 实验结果的平均值作为实验的结果。用MATLAB计算并画出 采用LMS法时，J(n)的100次实验结果的平均值随时间n的变 化曲线（即 生成随机噪声信号并计算结果，重复执行100次， 求平均结果）。 6）在 1）中的误差性能曲面的等值曲线上，叠加画出采用LMS法得到的100次实验中的H(n)的平均值的轨迹曲线； (Task: 1 ) Draw with MATLAB error performance surface and surface contour error performance curve ( refer PPT2.1 two chart on page 17 ) 2 ) Write the steepest descent method and the LMS algorithm formula ( take ) 3 ) Using MATLAB to generate variance of 0.05 with a mean of 0 white noise S (n), and draw a particular sampling waveform ( ie, any noise generated random sequence ) 4 ) based on 2 ) of the formula , and use 3 ) generated in S (n), in a ) the error performance curves superimposed on the surface contour plot using the steepest descent method and the LMS method when H (n) the iterative process in the trajectory curve ( refer PPT2.1 page 17 bottom right of the curves 1 and 2 ) . 5 ) using MATLAB LMS method is used calculate and draw the curve with time n (corresponding to S (n) of a first implementation of a ) and e (n) waveform Note : in a first implementation of the results are not reflected from a statistical point of view of accuracy of the experimental results ,)

说明：  基于视觉的动态手势跟踪与轨迹识别研究——硕士论文(Vision-based tracking and dynamic gesture track recognition- pp)

matlab 通信原理 sa函数波形仿真 周期矩形脉冲幅度谱 含源码(sa communication theory matlab function waveform simulation cycle rectangular pulse amplitude spectrum including source code)

随机森林Matlab代码并附有使用说明，用于图像分类处理(Matlab code of Random Forest)

说明：  基于模拟退火算法的优化算法，用于搭配其它算法（贪心算法等）迭代使用，用于有现容量的Facility_Customer 最佳分配问题，使用时变量为设备容量，设备成本，用户距离，用户需求。降温指数为0.96，降温次数为200，迭代次数为200。(The optimization algorithm based on the simulated annealing algorithm is used in combination with other algorithms (greedy algorithm, etc.) for iterative use. It is used for the optimal allocation of facility "customer with existing capacity. The variables used are equipment capacity, equipment cost, user distance and user demand. The cooling index is 0.96, the number of cooling is 200, and the number of iterations is 200.)

Data sets include far more ancillary information than simple tables of numbers and the DataSet Object (DSO) was designed as a generic container that can hold all of this information. The standard DataSet object is similar to a Matlab structure but it is intended to standardize how data is organized and maintained. It was originally designed in 2000 by a consortium of chemical and engineering industry experts to contain the kinds of data that they worked with in real applications. It has been updated numerous times since then to add relevant functionality needed for multivariate analysis of physical science and engineering data.