lesson_matlab

经典国外教材‘现代通信系统使用matlab’的中文电子版(morden communication system use matlab)

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)

二微时域有限差分的matlab模拟 二微时域有限差分的matlab模拟(two- finite-difference time-domain simulation of the two-Matlab finite-difference time-domain simulation of Matlab)

A major challenge to MIMO-OFDM systems is how to obtain the channel state in- formation accurately and promptly for coherent detection of information symbols and channel synchronization.

船舶仿真，simulink 关于船机浆的联合仿真，对初学者有用。(Ship simulation, simulink co-simulation on the ship machine pulp, useful for beginners.)

灰色预测的程序，灰色预测是对不确定系统数据的预测(Gray prediction procedure, gray prediction is for uncertain system data)

一个matlab的将军模型，互联网上很难查询到，希望对matlab初学者有所帮助(a general Matlab model, the Internet is difficult to find. Matlab hope to help beginners)

集成了C代码和MATLAB的主成分分析代码，可以用这两种方法解决求取特征值和特征向量。(C code and MATLAB integrates principal component analysis code, you can use two methods to solve strike eigenvalues ​ ​ and eigenvectors.)

用内点法实现电力系统潮流的优化问题上，代码完整，已经通过测试(Interior point method for power system optimization)

河道浅滩演变预测的MATLAB实现，在改视线中采用了BP网络的演变预测。(Forecast the evolution of the river bank MATLAB to achieve, in the line of sight to the BP network used in the evolution of the forecast.)