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matlab
这是一个很好的matlab的学习资料，希望对你们有帮助，提供了很多matlab基本函数(This is a very good learning matlab data you want to help provide many basic functions matlab)
- 2010-06-08 08:57:40下载
- 积分：1
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Low_Freq
这是一个MATLAB编写的进行低通滤波的函数(This is a MATLAB prepared to carry out low-pass filter function)
- 2007-12-12 13:32:26下载
- 积分：1
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JDSRGJ
此程序是基于按极大似然估计的系统辨识程序，是在MATLAB环境下编写的(This procedure is based on maximum likelihood estimation system identification program is written in MATLAB)
- 2016-07-03 17:21:09下载
- 积分：1
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mintree
这是解决图论中最小树问题的求解程序，是一种很好的解决方法(This is to solve minimum spanning tree in graph theory problem solving process, is a good solution)
- 2009-02-26 21:24:57下载
- 积分：1
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zernike
说明： zernike拟合程序,帮助初学者的小程序(zernike fitting )
- 2011-03-04 15:32:01下载
- 积分：1
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Kalm
雷达系统中的Kalman滤波算法的应用，很全。值得一看(Radar system application of Kalman filtering algorithm, it is full. Worth seeing)
- 2011-05-10 19:32:10下载
- 积分：1
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Esfera2_matlab
Esfera control gimbal matlab
- 2012-08-29 04:39:06下载
- 积分：1
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New-Wordpad-Document
need matlab codes which shows the segmentation of the image in boundries. and showing the limitations of image.
- 2014-12-22 16:28:11下载
- 积分：1
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PLSI
利用PLSI算法自动对一个文档集进行聚类，需要调节聚类的维度K值，从而得到最大的likelihood(PLSI automatically using an algorithm for clustering document set needs to be adjusted to the dimension value of K clusters, to obtain the maximum likelihood)
- 2014-01-06 13:55:30下载
- 积分：1
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cluster VMDaFCM casedat
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)
- 2020-11-11 20:59:44下载
- 积分：1
