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这个matlab程序实现了Edge Linking and Line Segment Fitting，解压后直接运行demo.m就可以了 ( edgelink.m edge linking function that forms lists of connected edge points from a binary edge image. (Needs findendsjunctions and cleanedgelist below). drawedgelist.m plots out a set of edge lists generated by edgelink or lineseg. edgelist2image.m transfers edgelist data back into a 2D image array. lineseg.m forms straight line segments fitted with a specified tolerance to the lists of connected edge points. maxlinedev.m is also used by lineseg.m to calculate deviations of the edge lists from the fitted segments. findendsjunctions.m finds line junctions and endings in a line/edge image. cleanedgelist.m cleans up a set of edge lists generated by edgelink or lineseg so that isolated edges and spurs that are shorter than a minimum length are removed.)

Cross entropy for TSP problem matlab file

用matlab实现概率方面的编程，包括随机数的生成函数方面知识(Probability with matlab implementation aspects of programming, including random number generation function of knowledge)

各类非线性方程组求解的公式的实现，较为简洁，可直接调用(Various types of nonlinear equations of the formula to achieve, the more simple, direct call)

编写的几种matlab中如何读取文本文件的方法(?嘈)

说明：  粒子滤波matlab程序，可用于机动目标跟踪，适用于非线性系统(Particle filter matlab program can be used for maneuvering target tracking for nonlinear systems)

基于matlab的智能交通系统 可以进行运动车辆的检索和追踪(Intelligent transportation system based on matlab can search and track moving vehicles)

The DocPolynom to Character Converter The char method produces a character string that represents the polynomial displayed as powers of an independent variable, x. Therefore, after you have specified a value for x, the string returned is a syntactically correct MATLAB expression, which you can evaluate. The char method uses a cell array to collect the string components that make up the displayed polynomial. The disp method uses char to format the DocPolynom object for display. Class users are not likely to call the char or disp methods directly, but these methods enable the DocPolynom class to behave like other data classes in MATLAB. Here is the char method.

mitigation of sags and swells

GLVQ neural network, this method is suitable for the two classification results of data processing