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Fast_Kalman_Filter
快速卡尔曼滤波的源程序，卡尔曼滤波是以最小均方误差为估计的最佳准则，来寻求一套递推估计的算法。(Fast Kalman filtering of source code, Kalman filter based on minimum mean square error for estimating the best criteria to search for a recursive estimation algorithm. )
- 2010-12-20 10:31:21下载
- 积分：1
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problem-1
assignmant for array antenna
- 2012-04-17 11:11:54下载
- 积分：1
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bin
说明： 自动泊车系统matlab源代码简单的部分还需改进行吧(The simple source code of MATLAB for automatic parking system needs to be improved.)
- 2021-03-24 17:39:14下载
- 积分：1
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yingyong
说明： Matlab语言在数字语音处理上的应用。(Matlab language in the digital voice processing applications.)
- 2008-11-08 14:07:27下载
- 积分：1
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MLP_MG
Mackey-Glass时间序列预测建模问题，建立了四输入一输出、具有3层结构的MLP人工神经网络，实现了函数逼近的功能。(Mackey-Glass time series prediction modeling, the establishment of a four-input one output, with a 3-layer MLP artificial neural network architecture to achieve a function approximation functions.)
- 2021-03-03 22:29:33下载
- 积分：1
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mxiao
在MATLAB里面实现小波变化的多种方法的程序,很值得参考(MATLAB realization of wavelet transform in which the procedures for a variety of ways, it is worth considering)
- 2010-07-06 20:15:24下载
- 积分：1
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hamming
说明： 实现汉明码的译码算法 进行正交调制和硬判决 (Hamming code decoding algorithm to achieve the orthogonal modulation and hard decision)
- 2011-03-16 11:24:47下载
- 积分：1
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PQ
PQ分解的典型例程，非常适用于初学者及专业人士参考学习(PQ decomposition typical routines, very suitable for beginners and professionals refer to learning)
- 2013-07-16 10:25:38下载
- 积分：1
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kldiv
Kullback-leibler divergence
- 2009-06-25 09:49:43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
