gm_1_1

幂率分布的无标度网络的生成，非常新的一个方法(Power-law distribution of scale-free network generation, a very new approach)

现有的几个网络拓扑随机发生器，其实很难生成理想的网络拓扑结构，其主要原因在于很难控制节点的疏密和间距。我们提出来的这个改进算法，在随机抛撒节点的时候使用了K均值聚类，由本算法作为网络拓扑发生器，网络节点分布均匀且疏密得当，边的分布也比较均衡(The few existing random network topology generator, is in fact very difficult to generate the desired network topology, the main reason it is difficult to control the node density and spacing. We put forward the improved algorithm, throw in random nodes when using the K-means clustering, by the algorithm as a network topology generator, network nodes and spacing evenly distributed properly, the edge of a more balanced distribution of)

实现图像模糊C_均值聚类分割，包含算法思想和matlab源程序(Fuzzy C_ c-mean partition)

说明：  有关BP算法权值修正的过程 用matlab编程 还可以用于神经预测(The BP algorithm weight correction process with the MATLAB programming can also be used for neural prediction )

PULSE CODE MODULATION

用matlab语言写的C4.5算法,用于模式分类(Matlab language used to write the C4.5 algorithm for pattern classification)

MATLAB code files for digital signal processing and digital filtering book. Contains the code for the examples in every chapter of the book.

adaptive filtering Algorithm FTRLS to noise cancellation

golden section method

说明：  基于ADABOOST的人脸检测程序，有分类器训练和测试(face detection based on adaboost)