SwitchSourceCode

两路语音信号混合及解混的基于负熵的fastICA算法的MATLAB仿真实例(Two-way voice signals mixed and mixed solutions of negative entropy-based algorithm fastICA simulation of MATLAB)

matlab辅助神经网络设计指南,对于MATLAB的运用有很大的参考价值(matlab neural network-assisted design guidelines for the use of MATLAB have great reference value)

星形16QAM过基带信号产生。经过升余弦成型滤波和高斯信道(Star 16QAM baseband signal generator over. Been raised cosine pulse shaping filter and Gaussian channel)

说明：  DS-CDMA直序扩频通信系统仿真源码，内部含有程序的详细中文解释以及word形势，系统大家下载~(DS-CDMA Direct Sequence Spread Spectrum Communication System Simulation source code, the internal procedures in detail with the Chinese to explain the situation and the word, the system you download ~)

This is a useful code for mutipaths signal

该压缩包里有基于压缩感知理论的stomp、omp、和bp算法，在处理二维图像上比较有优势，可直接在matlab上运行(The bag is compressed based on compressed sensing theory stomp, omp, and bp algorithm, in dealing with a comparative advantage on the two-dimensional image can be directly run in 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)

一个有趣的人走动程序，很有趣的。。。。。。(One interesting people walking program, very interesting. . . . . .)

ES UN PROGRAMA DE MARIO BROS

k-means聚类算法的matlab代码 截图的 想用还是自己手打吧(k-means clustering algorithm matlab code screenshot or their own hands to fight it.)