fig

this code use for predict of electrical load.

LDA方法是一种对数据进行线性分解的降维方法(LDA method is a kind of linear decomposition of data dimension reduction method)

灰色预测是就灰色系统所做的预测。所谓灰色系统是介于白色系统和黑箱系统之间的过渡系统。(Grey prediction is the prediction of grey system. The so-called grey system is a transitional system between the white system and the black box system.)

说明：  实现场景交通标志识别，是一个交作业的小功能(the realization of scene traffic sign recognition, is a small function of hand in work)

这是偏微分方程在图像处理中的应用一书的配套光盘，非常好的东东哦(This is a partial differential equations in image processing applications supporting CD-ROM book, very good stuff oh)

autofam autofam 循环谱autofam 循环谱autofam 循环谱(autofam autofam cyclic spectrum autofam cyclic spectrum autofam cyclic spectrum)

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)

说明：  快速推进法计算初至波走时，可计算二维强非均匀介质(The fast marching method can be used to calculate the first break travel time in two-dimensional strong inhomogeneous media)

此为《MATLAB应用实例精讲》的开源代码，供大家学习参考。(This is MATLAB application examples succinctly, the source code for everyone to learn reference.)

Numerical solving specifications For grid simulation