huamoMATLAB

一个关于小波多分辨率的代码，有详细的解释，并附上运行出来的结果图。是用MATLAB写的(On wavelet multi-resolution codes, there is a detailed explanation, together with the results running on Fig. Are written using MATLAB)

小波变换及其MATLAB工具的应用，这个供大家学习研究用(Wavelet Transform and Its Application of MATLAB tools, for them to learn from this study)

camshift im matlab camshift camshift(camshift in matlab camshift camshift )

在Simulink平台上对永磁同步电机(PMSM)实现直接转矩控制的仿真模型，使用无传感器控制方法，是国外的成品模型。(On the platform in Simulink for permanent magnet synchronous motor (PMSM) direct torque control of realize simulation model, the use of sensorless control method, is abroad finished product model.)

參考文獻「A Linear Subspace Learning Approach via Sparse Coding」and matlab code. Using Sparse Coding.(「A Linear Subspace Learning Approach via Sparse Coding」and matlab code. Using Sparse Coding.)

vmware存储IO控制。 在vsphere环境下，当存储IO性能达到顶峰时，如何有效的控制IOps的大小，不至于将存储写爆了。(vmware storage IO control. In vsphere environment, when the storage IO performance peaked IOps how to effectively control the size, not the memory write burst.)

ppt文件，是matlab的一些基础知识，很有用(ppt files, are some of the basics of matlab, useful)

Simulata VBlast Pluto code on Matlab

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)

cuckoo search new2013