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mimojihe
mimo2乘2矩阵的仿真与应用，内有源码与注释源码，方便阅读理解(mimo2 by 2 matrix of simulation and application source code and comments within the source code to facilitate reading comprehension)
- 2010-05-11 21:35:25下载
- 积分：1
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Applied-Numerical-Methods-Using-MATLAB---Yang-Cao
EM modeling with matlab
- 2012-06-12 21:13:52下载
- 积分：1
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PCA
对于PCA的学习很有用一份资料，上面还包含matlab程序。(Learn useful for the PCA to a data above also contains matlab program.)
- 2013-01-23 15:46:08下载
- 积分：1
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ST-code
matlab程序，实现广义S变换功能，广义S变换是用于时频分析的一重算法。(ST code in matlab)
- 2013-12-06 16:35:10下载
- 积分：1
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eemd
经过改良的经验模态分解降噪方法，认为噪声为高斯噪声。(The improved empirical mode decomposition denoising method considers noise as Gauss noise.)
- 2018-05-14 09:25:03下载
- 积分：1
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recognition
this file has codes that describes how to ccmpute the signal spectrum , the power spectrum, how to calculate the autocorrelation sequence of a signal, how to calculate the autoregressive coeffecients of a signal,and how to reduce the noisy elements in a speech sample.
- 2009-04-30 21:42:20下载
- 积分：1
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RectWave
矩形波路径规划算法，从起始点通过用矩形波传递到达目标点的方法来获得连通路径。适用于已知地形的栅格图。(Rectangular wave path planning algorithms, from the starting point by using the rectangular wave transmission methods to reach the target point to get connectivity path. Applicable to the known topography of the grid map.)
- 2008-03-18 20:12:26下载
- 积分：1
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jacobi
3种jacobi迭代算法，即将Ax=b，转换为A=D-L-U，进而x=Bx+f(3 kinds of jacobi iterative algorithm, ie Ax = b, converted to A = DLU, and then x = Bx+ f)
- 2013-12-06 00:57:49下载
- 积分：1
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heeat
Matlab file computing the heat transfer in a rectangular region.
- 2010-10-13 21:10:01下载
- 积分：1
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cut_sample
说明： 使用二分法对样本集进行剪辑，剪辑法的思想，就是将样本集分成训练集与考试集， 利用训练集样本对考试集的样本进行分类（使用近邻法），如果考试集中某个样本分类错误的话，将这个样本删除。在该函数中，使用最近邻法，只进行一次剪辑（遍历完考试集中的样本以后退出）。还有一种重复剪辑法（适用于样本比较多的情况），把样本随机分为多个样本集，将相邻的两个样本前一个作为考试集，后一个作为训练集，调用二分剪辑。所有的样本子集剪辑完毕以后，在递归调用，直到没有样本被剪辑掉,没得讲，重复剪辑的效果肯定好一些。
(The sample sets using the dichotomy of the clips, editing law idea is to sample set into training set and test set, using the training set samples to the test set of samples (using the nearest neighbor algorithm), if the examination focused on a sample of classification error then delete this sample. In the function, use the nearest neighbor method, only once clips (focused on a sample of traversal finished after the exit exam). There is also a repeat clip method (samples are more applicable to the case), the samples were randomly divided into multiple sample set, the two adjacent samples of the former one as a test set, the latter one as a training set, call the two sub-clips. All the samples were a subset of the clips after they have finished, in the recursive call, until there are no samples were clip out, did not have to say that the effect of repeated clips definitely better.)
- 2010-03-19 11:13:13下载
- 积分：1
