edge_xiangwei

该文件一个基于matlab的移动侦测方面的例子(move detect)

BP神经网络预测公路运量 1.问题的描述 公路运量主要包括公路的客运量和公路货运量两个方面。据研究，某地区的公路运量主要与该地区的人数、机动车数量和公路面积有关，表1给出了20年得公路运量相关数据，表中人数和公路客运量的单位为万人，机动车数量单位为万两，公路面积的单位为万平方千米，公路货运量单位为万吨。 根据有关部门数据，该地区2010年和2011年的人数分别为73.39和75.55万人，机动车数量分别为3.9635和4.0975万辆，公路面积将分别为0.9880和1.0268万平方米。请利用BP神经网络预测该地区2010年2011年得公路客运量和公路货运量。 (BP neural network to predict the road traffic (1) description of the problem of road traffic including road passenger and road freight volume two. According to research, an area of ​ ​ road traffic and the number of the region, the number of motor vehicles and road area, Table 1 shows the 20 years have to road traffic-related data, the table number and road passenger traffic units for people , million two units of the number of motor vehicles, road area in square kilometers, the highway freight volume was 10 000 tons. According to relevant data, the number of people of the region in 2010 and 2011 were 73.39 and 75.55 million, the number of motor vehicles were 3.9635 and 4.0975 million units, the road area were 0.9880 and 1.0268 million square meters. Please use the BP neural network in the region in 2011, 2010 have highway passenger volume and road cargo.)

数值分析,迭代方法,高斯列主消元法,matlab源程序, Gauss(Numerical analysis, iterative method out PCA Gaussian elimination method, matlab source code, Gauss)

PIECE-WISE LINEAR APPROXIMATIONS

说明：  DE 生物进化算法的matlab实现，一类优化仿生算法(DE biology evolutionary algorithm matlab implementation, a class of bionic optimization algorithm)

指北平台惯导导航系统的解算，导入比力，求得导航信息(navigation caculating for ins)

这是一份关于matlab曲线拟合的文章，供大家学习~~180K(This is an article on the matlab curve fitting for them to learn ~ ~ 180K)

GA location allocation problem sample

运用一种基于相位信息的2FSK与MSK的调制识别方法,来实现MSK与普通的2FSK的识别。通过计算机仿真表明,在SNRE10dB的条件下,该方法识别率达到了100 。 (Based 2FSK use and MSK modulation recognition phase information to achieve a common 2FSK MSK and identification. Through computer simulations show that, under SNRE10dB conditions, the recognition rate reached 100 .)

说明：  功率谱估计算法，很有效经典。非参数谱估计，APES算法，振幅与相位估计(Power spectrum estimation algorithm, very effective classic)