63535280pso123_pid

In statistics, the use of Bayes factors is a Bayesian alternative to classical hypothesis testing.Bayesian model comparison is a method of model selection based on Bayes factors.

东南大学的《结构模态分析及其损伤诊断》，系统地介绍了结构模态信号处理的算法，是模态信号处理编程和学习的必备选择。(" Modal Analysis and Damage Diagnosis" Southeast University, introduced the algorithm modal signal processing, signal processing modal learning programming and necessary choice.)

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)

有关蚁群算法的matlab源码，共有十二个源代码文件，希望对大家有所帮助(On the ant colony algorithm matlab source, a total of 12 source code files, I hope all of you to help)

matlab软件中基于Simulink模型的设计，有关于RTW和xpc实验(matlab software Simulink model-based design of experiments about RTW and xpc)

基于dsp builder的DDS实现 在matlab/simulink中，通过dsp builder建模，仿真完成DDS设计(inplement of DDS based on dsp builder.In the matlab/simulink, by dsp builder modeling, simulation design complete DDS)

this code is a particle filter code in 2 Dimension and integrated to extended kalman filter.

多目标优化，自适应小生境遗传算法 面向低碳低噪的螺纹车削工艺参数优化(Multi-objective optimization and adaptive niche genetic algorithm)

说明：  基于空间划分的模糊辨识方法，三角形隶属函数！(Fuzzy identification method based on space division, triangle membership function!)

This Matlab-code is a demo for real-time audio and image processing.