lsdasvm

工具箱说明文件，帮助初学者快速掌握工具箱用法 很好用，不过是英文的啊(svm lib Toolbox documentation to help beginners to quickly master the use of the toolbox Useful, but ah English)

随机权神经网络预测光伏电池的光功率的matlab仿真源代码(A random vector functional link network (RVFLN)It is proved that the RVFLN not only trains much faster with good generalization performance, but also overcomes some pos- sible fl aws (such as the low convergence rate and the local minimum) of the BP algorithm. But poor quality RVFLN is usually obtained whenever the training data are corrupted with outliers.)

the grimson method is a computer vision program that take a film and define movement in it.it is use full for process films from public pplaces camera.

本程序用于雷达成像压缩感知算法，基于压缩感知算法的雷达探测区域成像(radar imaging based on compressed sensing)

a fast and precise algoritm to find local maximum or minimum

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)

Pid controller using matlab simulink

说明：  概率论和排队论的书籍 全英文的 很有帮助(Probability theory and queuing theory of helpful books in English)

说明：  车牌处理，基于matlab的图像处理方法(Plate processing, image processing method based on matlab)

说明：  将ELCentro波的加速度时程转换成速度、位移时程(Converting the acceleration time history of ELCentro wave into velocity and displacement time history)