hoyw

1.MATLAB中的画圆程序：circle.m。 2.MATLAB中的GPS单点定位函数：pos_fix.m。 3.MATLAB中的读取RINEX格式的导航电文文件程序：readnavfile.m。 4.MATLAB中的读取YUMA格式历书的函数：ReadAlmanac.m。 5.MATLAB中的生成一节高斯马尔科夫序列：gmp1.m(1.MATLAB circle in the program: circle.m. 2.MATLAB single point in the GPS positioning function: pos_fix.m. 3.MATLAB in reading RINEX navigation message file format of the program: readnavfile.m. 4.MATLAB read YUMA format in the calendar function: ReadAlmanac.m. 5.MATLAB in the sequence generated a high 斯马尔科夫: gmp1.m)

D2Q9 latice boltzmann code for poiseullie flow

knn用于分类的matlab源码，短小精悍(knn matlab source code for the classification, dapper)

形态学，在模式识别系统中，判断两个形状的区别。(morphology )

gaussnode,gaussquado, mls shap function

超宽带基础的基本程序,非常不错的小程序,省不少事情啊(the basic procedures, a very good small procedures, many of the things the provincial ah)

四阶累积量时延估计算法和四阶累积量与ETDE结合的时延估计算法(Delay estimation algorithm fourth-order cumulant delay estimation algorithm and fourth-order cumulants combined with ETDE)

Optical flow or optic flow is the pattern of apparent motion of objects, surfaces, and edges in a visual scene caused by the relative motion between an observer (an eye or a camera) and the scene.[2][3] The concept of optical flow was first studied in the 1940s and ultimately published by American psychologist James J. Gibson[4] as part of his theory of affordance. Optical flow techniques such as motion detection, object segmentation, time-to-collision and focus of expansion calculations, motion compensated encoding, and stereo disparity measurement utilize this motion of the objects surfaces and edges.[5][6]

说明：  存在互耦的平面阵的一种互耦参数估计方法。(The existence of mutual coupling in a planar array mutual coupling parameter estimation methods.)

DRNN网络简单代码，n个样本个数，输出为权值矩阵(DRNN network of simple code, n the number of samples, the output weight matrix)