K08auto

A MATLAB book which will be helpful for beginners

yangjianchao将稀疏编码引入到超分辨率重建的文章(Yangjianchao will be introduced to the sparse coding super-resolution reconstruction)

用于计算电力系统的节点阻抗或者导纳，还算比较好用。(It can be used to calculate nodal impedance or admittance of power system.)

NTKL法可以同时检测光谱异常点、参考数据异常点及其他们共同的异常点，该方法的基本思路是基于蒙特卡洛采样，随机将样本集划分为校正集与预测集，用校正集建模，并对没参与建模的样本进行预测误差计算，进行几千次这样随机采样，每个样本点都可得到其预测误差分布。如果奇异样本在校正集中，整个模型的质量将受到影响；相反，如果奇异样本在预测集中，仅此样本的预测结果受到影响。(NTKL method can simultaneously detect abnormal spectrum and abnormal reference data points and their common abnormal point, the basic idea of this method is based on the monte carlo sampling, sample set random be divided into calibration set and prediction set, using correction modeling, modeling and participated in the samples of the prediction error calculation, a thousands of times that of random sampling, each sample point can be obtained the prediction error distribution.If singular samples in correction, the model of quality will be affected.Singular samples in predicting concentration, on the contrary, if only for the sample prediction results are affected.)

说明：  利用盲源分离原理的方法，可以实现多路信号的同时恢复。(The method of blind source separation can realize simultaneous recovery of multiple signals.)

参考变分不等式的混沌搜索算法 赵　晖,高自友(北京交通大学交通运输学院,北京100044)(Reference variational inequality chaos search algorithm ZHAO Hui, GAO Zi-you (Beijing Jiaotong University, Transportation Institute, Beijing 100044))

基于遗传算法的移动机器人路径规划研究,该论文在分析了目前各种路径规划方法优缺点的基础上，选择遗传算法来解决静态和动态环境下移动机器人的路径规划问题。 (Based on genetic algorithms for mobile robot path planning studies, the paper analyzed the current advantages and disadvantages of various methods of path planning based on the choice of genetic algorithm to solve the static and dynamic environment of mobile robot path planning.)

包括一些Probability_and_Stochastics 蒙特卡洛算法等程序。。。(Including some Probability_and_Stochastics Monte Carlo algorithms and other procedures. . .)

针对满文文字的特点，利用投影法进行文字分割，效果较好(For the full text of the characteristics of the text, use projection method for text segmentation, better)

groupICA is an extended Blind Source Separation algorithm to help processing EEG data