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Genetic and matlab programming

Day la 1 chuong trinh duoc viet boi hoc vien cao hoc khoa 20 cua truong Khoa hoc tu nhien. Vi thoi gian co han nen chua test duoc

new way for find wieght in neroal network

关于水质分析的程序，程序写的很牛！很有参考价值！(On the analysis of water quality of the program, the program was very cattle! A good reference value!)

matlab MUSIC算法~~~~~~~~~~~~~~~~~~~~~~(现在数字信号处理 MUSIC算法，大家可借鉴~~~~~~~~~~~~~~~~~~)

一种matlab的重要支撑软件，适用于学习 研究的功效。(An important support software matlab, applicable to the study of the efficacy of learning.)

Kalman Filtering - Theory and Practice Using MATLAB - Mohinder Grewal (Wiley, 2001).pdf

2016年中国图像图形学报 求质心的快速算法 免滤波 直接可以求得质心的位置 附带 matlab源代码！！(In 2016 the Chinese image and graphics Journal of the fast algorithm for the centroid of the fast algorithm can be obtained directly the center of the location of the matlab source code!!)

马氏距离是一种有效地计算两个样本集之间相似度的算法（数据之间协方差距离），与欧式距离相比，它考虑了各种特征之间的联系。本实验旨在通过给出的样本数据，设计一个最小马氏距离分类器并对测试点进行分类，然后将其与最小欧式距离分类器进行比较，实验得出当协方差矩阵为单位阵时，最小马氏距离分类器将与最小欧式距离分类器等价。本实验还根据实验样本设计贝叶斯分类器进行分类，并与最小马氏距离分类器进行比较，比较两种分类器的分类效果。(Markov distance is an effective method to compute the similarity between the two samples (data covariance distance), compared with the Euclidean distance, which takes into account the link between different characteristics. This experiment aimed at through the given sample data, design a minimum Mahalanobis distance classifier and classify the test points, and then compare it with the minimum Euclidean distance classifier. Experimental results showed that when the covariance matrix is a unit matrix, minimum Mahalanobis distance classifier with the minimum Euclidean distance classifier equivalent.In this experiment, according to the experimental design of the Bias classifier, and compared with the minimum distance classifier, the classification results of the two classifiers are compared.)

LTE的入门资料，介绍整个LTE系统的组成和工作原理，经典书籍，值得一读(LTE introductory information on the composition of the LTE system and working principle of the classic books worth reading)