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zd_csh1
用最大距离法对K均值的初始聚类中心进行确定(max distance algorithm)
- 2012-01-03 18:10:09下载
- 积分：1
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matlab3
信号分析与处理，matlab语言及应用。(Signal analysis and processing, matlab language and application.)
- 2008-05-05 15:52:03下载
- 积分：1
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non-constrant
解决无约束多维极值问题的matlab源码(non-constrant )
- 2010-01-09 10:08:21下载
- 积分：1
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tsp
说明： 蚁群算法matlab实现，c为测试矩阵蚁群算法matlab实现，c为测试矩阵蚁群算法matlab实现，c为测试矩阵蚁群算法matlab实现，c为测试矩阵(matlab，ant matlab，ant matlab，ant matlab，ant matlab，ant matlab，ant )
- 2010-04-22 17:38:35下载
- 积分：1
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exclass2
经过调试的很好用的svm分类程序，真的很好用(After commissioning of the good use of the svm classification procedures, is actually pretty good)
- 2011-11-21 16:45:11下载
- 积分：1
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upload
Matlab code for helping image processing programs
- 2009-09-12 16:33:03下载
- 积分：1
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sparse_wsf
使用加权子空间拟合（WSF）实现稀疏均匀圆阵DOA估计。优化过程用的是最陡下降法。(Using weighted subspace fitting (WSF) SPARSE DOA estimation with uniform circular arrays. Optimization process using a steepest descent method.)
- 2011-01-25 20:57:46下载
- 积分：1
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excel-to-kml
经纬度生成KML文件,只需要输入经纬度的数据就能生成Google Earth 中使用的kml文件(Use your latitude and longtitude data to generate KML file)
- 2014-12-01 22:45:27下载
- 积分：1
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real_time_data_serial
This matlab script is for ploting a graph by accessing serial port data in
real time. Change the com values and all variable values accroding to
your requirements. Dont forget to add terminator in to your serial device program.
This script can be modified to be used on any platform by changing the
serialPort variable.
- 2015-03-23 14:33:34下载
- 积分：1
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HHT
把HHT和神经网络结合起来，识别出是否故障。对于HHT变换，这里用到的是它的IMF分解，然后用能量理论来判别哪些模组是虚假分量，哪些是是真实分量。对于EMD分解后的谱进行特征提取 ，利用的理论基础就是模糊熵。计算出真实 分量的模糊熵，作为输入层；输出层为两个神经元，为0（故障 ）1（正常 （正常 ）判别该信号是否出现故障。(The combination of HHT and neural network to identify whether the fault. For the HHT transform, here is the use of its IMF decomposition, and then use the energy theory to determine which module is false, which is true component. The theoretical basis for the feature extraction of the spectrum after EMD decomposition is fuzzy entropy. The fuzzy entropy of the real component is calculated, as the input layer, the output layer is two neurons, which is 0 (fault) 1 (normal) to determine whether the signal is faulty.)
- 2016-03-09 12:58:20下载
- 积分：1
