program

Stack自己写的工具箱，MCA方面的大牛，很多相关文献都是他写的(Stack wrote his own toolbox, professor on MCA, and many related documents were written by him.)

pos算法，MATLAB的粒子群优化算法程序设计(pos algorithm, MATLAB Particle Swarm Optimization Program Design)

说明：  从图书馆找的matlab源程序的学习案例，方便大家学习，欢迎下载！！(Matlab source from the library to find case study, to facilitate learning, welcome to download! !)

为了精准、稳定地提取滚动轴承故障特征，提出了基于变分模态分解和奇异值分解的特征提取方法，采用标准模糊C均值聚类(fuzzy C means clustering, FCM)进行故障识 别。对同一负荷下的已知故障信号进行变分模态分解，利用 奇异值分解技术进一步提取各模态特征，通过FCM形成标准聚类中心，采用海明贴近度对测试样本进行分类，并通过计算分类系数和“卜均模糊嫡对分类性能进行评价，将该方法 应用于滚动轴承变负荷故障诊断。通过与基于经验模态分解的特征提取方法对比，该方法对标准FCM初始化条件小敏感，在同负荷故障诊断中表现出更好的分类性能 变负荷故障诊断时，除外圈故障特征线发生明显迁移，其他测试样本故障特征线仍在原聚类中心附近，整体故障识别率保持在100 ，因此，该方法能精确、稳定提取故障特征，为实际滚动轴承智能故障诊断提供参考。( In order to extract fault features of rolling bearing precisely and steadily, a method which is based on variational mode decomposition(VMD) and singular value decomposition was proposed for fault diagnosis using standard fuzzy C means clustering(FCM). First of all, the known fault signals measured in the same load but with different faults were decomposed by VMD, and the modes characteristics were further extracted using singular value decomposition technique,forming the standard clustering centers by FCM, and then the test samples were clustered by a Hamming nearness approach, and the classification performance was uated by calculating classification coefficient and average fuzzy entropy. At last, the method was applied in rolling bearing fault diagnosis under variable loads. By comparing with a method based on EMD, this approach is not sensitive to the initialization of standard FCM, and exhibits better classification performance in the same load fault diagnosis Fo)

小m序列生成程序，可以生成32比特长度的小m序列并具有相对好的自相关特性(m sequence generate)

MATLAB程序设计电子指南Electronic Programming Guide MATLAB(MATLAB Programming Guide Electronic Programming Guide MATLAB e)

卡尔曼滤波法实现分布式传感器的航迹模拟，matlab源代码(Kalman filter method for distributed sensor track initiation, matlab implementation)

matlab source code for shape detection and recognition in images

对目标图像处理进行后，可以对目标进行追踪，卡尔曼滤波模型是目标追踪中常用的代码(After image processing, the target can be tracked. Kalman filter model is a common code in target tracking.)

这是一个关于商人visit许多城市，怎样走法才能使距离最短的例子，采样的了退火算法的经典案例(Traveling Salesman Problem (TSP) has been an interesting problem for a l me in classical optimization techniques which are based on linear and nonlin ogramming. TSP can be described as follows: Given a numberof cities to v d their distances from all other cities know, an optimal travel route has to und so that each city is visited one and only once with the least possible dista aveled. This is a simple problem with handful of cities but becomes complica the number increases.)