FCM

A filter bank structure that can deal effectively with piecewise smooth images with smooth contours, was proposed by Minh N Do and Martin Vetterli. The resulting image expansion is a directional multiresolution analysis framework composed of contour segments, and thus is named contourlet. This will overcome the challenges of wavelet and curvelet transform. Contourlet transform is a double filter bank structure. It is implemented by the pyramidal directional filter bank (PDFB) which decomposes images into directional subbands at multiple scales. In terms of structure the contourlet transform is a cascade of a Laplacian Pyramid and a directional filter bank. In essence, it first use a wavelet-like transform for edge detection, and then a local directional transform for contour segment detection. The contourlet transform provides a sparse representation for two-dimensional piecewise smooth signals that resemble images.

用Simulink实现PAM调制，并显示星座图和眼图(PAM modulation and demodulation)

采用四边形网格划分,利用matlab实现二维拓扑优化问题!(Using quadrilateral mesh, using matlab to achieve two-dimensional topology optimization problem!)

找指紋特徵點 並圈選出來的 matlab 程序(Matlab program to find the fingerprint feature points and circle out)

本书是一本关于matlab应用于数字信号处理的经典书籍，里面给出了matlab处理信号的代码，适合读者自学。(This book is a book on digital signal processing matlab classic books, which gives the signal processing matlab code for readers to self-learning.)

一片关于横向裂纹转子振动特性研究的文章,一片关于横向裂纹转子振动特性研究的文章(A transverse crack on the vibration characteristics of the rotor research paper)

In regulation there are quieter periods and more active ones. Present times appear to demand a particularly active regulatory response. Energy—and elec- tricity in particular—has recently become a fashionable topic. Energy news is now a staple in the media. Fifteen years ago nobody brought energy as a subject for discussion in a social get-together.

In accelerometric data, an unwanted drift is observed due to the transducer, strain accumulation, ... This leads to unrealistic values of the final displacement after an earthquake. Baseline correction is the solution to acquire reliable estimates of acceleration, velocity and displacement.

卷积神经网络是人工神经网络的一种，已成为当前语音分析和图像识别领域的研究热点。它的权值共享网络结构使之更类似于生物神经网络，降低了网络模型的复杂度，减少了权值的数量。自己可已加入数据，和修改梯度。(Convolutional neural network is an artificial neural network, it has become a research hotspot speech analysis and image recognition field. It weights shared network structure to make it more similar to biological neural networks, reduce the complexity of the network model, reducing the number of weights. Own data may have been added, and modify gradients.)

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)