sort

a program for to maximise the fonction f(x,y)=x+y with genetic algorithm

最小费用最大流算法通用Matlab函数 基于Floyd最短路算法的Ford和Fulkerson迭加算法   基本思路：把各条弧上单位流量的费用看成某种长度,用Floyd求最短路的方法确定一条   自V1至Vn的最短路 再将这条最短路作为可扩充路,用求解最大流问题的方法将其上的流   量增至最大可能值 而这条最短路上的流量增加后,其上各条弧的单位流量的费用要重新   确定,如此多次迭代,最终得到最小费用最大流.(Minimum cost maximum flow algorithm general Matlab functions The basic idea of ​ ​ the shortest path algorithm of Ford and Fulkerson superposition algorithm based on Floyd: the cost of unit flow on the arc as a certain length of Floyd and the shortest path method to determine the one percent self-V1 to the Vn the most short-circuit and then the this Article is the most short-circuit as a can be the expansion Lu, to use solving the method of the the the problem of the maximum flow will its on the stream the amount of increased to the maximum possible values while the the the the flow of of this Article of the shortest on the road increase, the costs of the unit of flow on each arc sure, so many iterations, the final minimum cost maximum flow.)

missile launching and miss distance matlab

说明：  每个传感器具有一定的范围和精度，而且周围环境可能对它们产生干扰。即单传感器只能提供部分不精确的信息，从而不能排除对外界环境描述的歧义性。鉴于各传感器性能上的差异表现出的互补性，如果综合各个传感器的信息，就能得到比单一传感器所能提供的更准确可靠的信息。简言之，与单一传感器相比，多传感器数据融合由于信息的冗余性和互补性存在很多方面的优势。 多传感器融合(Each sensor has a certain range and accuracy, and the surrounding environment may interfere with them. That is to say, a single sensor can only provide some inaccurate information, so it can not rule out the ambiguity of the description of the external environment. In view of the complementarity of the differences in the performance of each sensor, if we synthesize the information of each sensor, we can get more accurate and reliable information than a single sensor can provide. In short, compared with a single sensor, multi-sensor data fusion has many advantages due to the redundancy and complementarity of information.)

MATLAB/Simulink Device Blocksets for dsPIC® DSCs

it is a simple pole placement method for aircraft system

matlab绘图，绘制表格，矩阵运算程序。(matlab drawing, drawing table, matrix operations procedures.)

1. SOH的关于IMU算法的源代码和测试工程，效果非常不错！是SOH硕士论文的代码！(1. SOH source code and test engineering on the IMU algorithm, the effect is very good! Thesis is SOH code!)

CDMA通过MAtlab仿真的各个模块源程序，卷积交织调制解调turbo译码等(Matlab simulation of CDMA through the various modules of source code, Convolutional Interleaver modem, such as turbo decoding)

matlab实现人脸识别，图像定位，表情捕捉等(Matlab face recognition, image positioning, expression capture, etc)