frft

perbaikan terhadap STC untuk pergeseran15 dB

探讨时域加窗后对LFM信号匹配滤波后峰值旁瓣比和隔离度的影响(Time domain windowing of LFM signal after matched filtering the peak sidelobe ratio and the impact of isolation)

MIMO Signals And Systems一书的Matlab程序。(MIMO Signals And Systems of a book on Matlab procedures.)

利用小波变换在汽车变速齿轮点蚀故障诊断的应用(Wavelet transform automotive transmission gears pitting fault diagnosis in the application)

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.)

这是一个非常好的关于OFDM的英文文章，它是国外的博士论文，对于想了解整个OFDM的朋友来说，可以了解到许多中文文章所没有的知识。(This is a very good article in English on OFDM, which is the doctoral thesis abroad, who want to understand the overall OFDM' s friends, you can understand that many Chinese do not have knowledge of the article.)

遗传算法经典例子matlab来实现-Matlab genetic algorithm to achieve a classic example of(Matlab genetic algorithm to achieve a classic example of)

rgb直方图均衡化，转化为hsi图像，用matlab编写(RGB histogram equalization, into the hsi image, with matlab)

对流扩散方程的六点迎风格式matlab编程(Six upwind scheme convection-diffusion equation)

通过分支定界法计算线性规划、整数规划,效果较好。(To calculate integer programming, branch and bound method is better.)