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dynamic
本代码为动态规划算法。寻找一条最佳路径，并找出相对应的节点。(The code for the dynamic programming algorithm.)
- 2009-06-08 20:35:28下载
- 积分：1
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KarhunenLoeve
数据降维算法
K_L变换是一种最优正交变换，以矢量信号X的协方差矩阵Ф的归一化正交特征矢量q所构成的正交矩阵Q，来对该矢量信号X做正交变换Y=QX，则称此变换为K-L变换（K-LT或KLT）。(Data reduction algorithm K_L optimal orthogonal transform is a transformation to vector signal covariance matrix Ф X normalized orthogonal feature vector composed of q orthogonal matrix Q, to be orthogonal to the vector signal X transformation Y = QX, called the KL transform transform (K-LT or KLT).)
- 2011-05-13 10:57:30下载
- 积分：1
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diameter
测量血管直径的MATLAB程序 很有用的一个程序 简单 直接(measure the diameter of matlab program)
- 2014-12-15 21:02:32下载
- 积分：1
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Example2_6_1
说明： 用MATLAB对一图象分别用不同小波分解，观察高低频部分进行重构，比较重构误差，再进行阈值消噪，比较消噪前后图象。(MATLAB right one image with different wavelet decomposition, high-low-frequency observations for some remodeling, more reconstruction error and then de-noising, compared before and after image denoising.)
- 2006-04-13 01:16:58下载
- 积分：1
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DiscontinuousNakagami
this is useful for nakagami random process generation
- 2012-11-22 14:55:52下载
- 积分：1
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JIANXIEBO
总结了近十年的间谐波研究的方法和一些关键技术(Summarizes the research nearly a decade of inter-harmonics method, and some key technologies)
- 2010-09-14 23:47:15下载
- 积分：1
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nueral
neurak network classification for iris data
- 2010-01-19 18:14:06下载
- 积分：1
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ThrSample1
自然一次样条几乎等同于样条设备生成的曲线。在这些所有的二次连续可导函数中，钳位与自然三次样条可以得到相对于待插值函数 f 的最小值(spline interpolation)
- 2012-04-26 22:00:28下载
- 积分：1
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cpplapack-2005_03_25.tar
lapack的c++版本之一.lapack是imsl,mkl,matlab等大部分数值计算的使用者.最早是for77的,后来出现c++,java等的.(lapack one of the c version. Lapack is imsl, mkl. Matlab, and most numerical calculation users. The first was for77, subsequently c, java and so on.)
- 2007-01-12 04:40:19下载
- 积分：1
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mine-fisher-pca
PCA分类，用于较好的去噪降维，matlab的各种自适应仿真分析。。自适应信息处理的算法、方案繁多，究其实质可归纳为遵循最小均方误差(Least Mean Square，LMS)准则及最小二乘(PCA classification for better denoising dimensionality reduction, a variety of adaptive matlab simulation analysis. . Adaptive information processing algorithms, programs many, their essence can be summarized as follows the minimum mean square error (Least Mean Square, LMS) and the least squares criterion)
- 2014-11-10 23:46:53下载
- 积分：1
