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北大竞赛题,非常好的。好不容易才找到的东东！(North title race, very good. Hard to find the NEE!)

某校60名学生的一次考试成绩如下： 某校60名学生的一次考试成绩如下： (93 75 83 93 91 85 84 82 77 76 77 95 94 89 91 88 86 83 96 81 79 97 78 75 67 69 68 84 83 81 75 66 85 70 94 84 83 82 80 78 74 73 76 70 86 76 90 89 71 66 86 73 80 94 79 78 77 63 53 55 1)计算均值、标准差、极差、偏度、峰度，画出直方图； 2)检验分布的正态性； 3)若检验符合正态分布，估计正态分布的参数并检验参数 (1)计算均值、标准差、极差、偏度、峰度，画出直方图； 2)检验分布的正态性； 3)若检验符合正态分布，估计正态分布的参数并检验参数(60 students of a school examination results of the first as follows: (1) calculating the mean, standard deviation, very poor, skewness, kurtosis, draw histogram 2) test of normality of distribution 3) If the test in line with normal distribution, it is estimated that the normal distribution parameters and test parameters)

Graphing without use of matrix multiplications

模式识别工具，包含神经网络 SVM，DT等代码(pattern recogniton tools)

在VC++6.0中利用MATCOM接口调用MATLAB中的.mat文件进行数据处理(In VC++6.0 using MATCOM interface calls the MATLAB. Mat file for data processing)

均值向量的编程的学习算法 通过这个算法可以变成处理图片的跟踪(Mean Vector learning algorithm programming algorithm can be turned through this track with pictures)

说明：  关于通信信号的调制，包括很多种哦，希望对大家有用，谢谢了啊!(On the modulation of communication signals, including a variety of oh, we hope to be useful, thank you, ah!)

on_and_software_radio_for_mobile_communication随书附赠源代码(on_and_software_radio_for_mobile_com munication with books attach source code)

该计算代码主要对msk,fsk,ask等常规调制信号的循环谱进行了仿真，可以进一步补充，谢谢大家分享。(This calculation code mainly cyclic spectrum msk, fsk, ask other conventional modulation signal simulation, can be further supplemented, thank you share.)

针对二维熵图像分割方法在求取最佳阈值时存在计算量大及微粒群算法容易陷 入局部最优且速度较慢等等问题, 提出了基于混沌粒子群优化算法的二维熵图像分割方法。 该方法考虑了图像中像素点灰度􀀂 􀀂 􀀂 邻域灰度均值对作为阈值对图像进行分割 利用混沌运 动随机性、遍历性和初值敏感性, 将混沌粒子群优化算法与阈值法相结合在二维空间作全局搜 索。实验结果表明了基于混沌粒子群优化算法的二维熵图像分割法用于阈值寻优减少了搜索 时间, 提高了收敛率。(Calculation of its large capacity and particle swarm algorithm is easy to fall to strike the best threshold for the two-dimensional entropy image segmentation method Into the local optimum and slower, the proposed two-dimensional entropy image segmentation method based on chaotic particle swarm optimization algorithm. The method takes into account the image pixel the gray 􀀂 􀀂 􀀂 neighborhood average gray value as a threshold for image segmentation chaotic transport Dynamic randomness, ergodicity and initial value sensitivity of chaotic particle swarm optimization algorithm with the threshold method in two-dimensional space for the global search On request. Experimental results show that the entropy method of image segmentation method based on chaotic particle swarm optimization algorithm for threshold optimization to reduce the search Time and improve the convergence rate.)