maximalCliques

matlab的pdf教程，华中科技大学的内部资料(The pdf tutorial matlab, Huazhong University of Science and Technology)

Spectrum Sensing Demonstration

model of type 1 subcat. sensor

说明：  回波数据进行二位FFT处理结果和CFAR处理后结果对比(Comparison of the results of two-bit FFT and CFAR processing for echo data)

shape context的MATLAB一个Demo，好像是从原作者网站上下下来的(shape context of MATLAB a Demo, seems to be down from the original author site down)

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.)

MATLAB混合编程想把matlab强大的功能用在自己的工程实践中吗这是本不错的混合编程的书(Hybrid Programming MATLAB want matlab powerful in their own practice, it works this is a mixture of good programming book)

此程序做到了 用matlab仿真 BPSK调制解调方式 使用扩频技术 的性能(this procedure done using Matlab simulation BPSK modulation and demodulation use of spread spectrum technology performance)

控制excle 生成控制cpn的编码； (Control excle generate control cpn encoding )

speedy implemetation of Genetic Algorithms