EMD2

matlab 最优化算法 matlab 最优化算法matlab 最优化算法(matlab zui you hua suan fa zui you hua suan fa )

ESPRIT是“Estimating signal parameters viarotational invariance techniques”的缩写，含义是“借助旋转不变技术估计信号参数”，它是由Roy[221等人于1986年提出的另一种基于子空间的DOA估计方法。 应用领域 　　侧向定位 信号处理 思想 　　ESPRIT的思想在于，将传感器阵列分解为两个完全相同的子阵列，两个子阵中每两个相对应的阵元具有相同的平移，即要求阵列具有平移不变性，每两个位移相同的阵元匹配成对。所幸的是实际中许多阵列满足这个条件，比如等距直线阵。(ESPRIT is "Estimating signal parameters viarotational invariance techniques" acronym, meaning "With ESPRIT estimation of signal parameters", it is by Roy [221, who in 1986 proposed DOA estimation method based on subspace another. Applications Lateral positioning signal processing Thinking ESPRIT thinking that the sensor array is divided into two identical sub-arrays, each of the two sub-arrays of two corresponding array element has the same translation, which requires an array with translation invariance, the displacement of each of the two identical arrays yuan matching pairs. Fortunately, many of the actual array satisfy this condition, such as equidistant linear array.)

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)

Optimizacion por analisis de intervalos con restricciones Profesor K. Ichida

lfnewton matlap source code

二维经验模式分解代码，十分实用，希望对有需要的朋友有用(Two-dimensional empirical mode decomposition code, are very useful, want to be useful to have a friend in need)

fuzzy pid and pid with disturbance included

均值向量的编程的学习算法 通过这个算法可以变成处理图片的跟踪(Mean Vector learning algorithm programming algorithm can be turned through this track with pictures)

粒子群算法求解旅行商问题 运行yunxing.m中的内容 文件列表 Arrange.m GenerateChangeNums.m HoldByOdds.m PathDistance.m PathExchange.m PathPlot.m yunxing.m readme.txt(Particle swarm algorithm to solve the traveling salesman problem)

在图像上指定位置做数字标记，这在图像匹配等实验时很有用。(The image digital mark made on the specified location, this experiment in image matching is useful.)