Matlab

高斯函数的MATLAB ds-uwb中的uwb信号(Gaussian function MATLAB)

Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重： 如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules: If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)

说明：  实现的是数据挖掘的apriori 算法，用的是matlab算法，数据和算法比较简单(Implement the apriori algorithm data mining, using a matlab algorithm, data and relatively simple algorithms)

基本的调制解调程序集(包括BPSK,QPSK,QAM,GMSK等)(Basic modulation and demodulation assembly (including BPSK, QPSK, QAM, GMSK, etc.))

面对大学繁琐的物理化学实验数据，本文提供了用matlab处理的常用方法(The face of the University of complicated physical and chemical experimental data, this paper provides a common method of dealing with matlab)

Poisson equation solver

变尺度法的源程序，用于优化中的非线性规划，效还可以的。(variable scale method of the source for the optimization of nonlinear programming, the effect can be.)

高斯金字塔分解，matlab实现。高斯金字塔分解，matlab实现。高斯金字塔分解，matlab实现。(Gasussian pyramid decomposition using matlab tool.Gasussian pyramid decomposition using matlab tool.)

计算高阶统计量的程序，包括WVD、伪WVD，平滑WVD(Calculation of higher-order statistics of the procedures, including the WVD, pseudo-WVD, smoothed WVD)

有关运动去模糊的最新算法。 采用kernel estimate，用变参数的deconvolution实现更好的运动模糊去除(A new algorithm for motion deblurring)