chap5_2sim

Matlab的M文件编写的数控插补2D直线算法仿真。具体参数可使用：X-500,Y-600，Fc-600，Fs-0，Fa-0，at--200.仿真的本意是为了验证DSP上同类插补算法的正确性(Matlab M-file to prepare the CNC interpolation algorithm for 2D simulation of a straight line. Specific parameters can be used: X-500, Y-600, Fc-600, Fs-0, Fa-0, at- 200. The simulation is intended to verify the DSP on the correctness of the same interpolation algorithm)

说明：  语音处理中谱相减MATLAB程序，可以作为函数或单独的程序使用(voice processing spectral subtraction MATLAB procedures, or can function as a separate procedure using)

Matlab HOG exercise matlab svm learning

Numerical Maths Using Matlab matlab学习资料，英文版 基于matlab的数值方法：曲线拟合、数值优化……(Numerical Maths Using Matlab matlab learning materials, the English version is based on the numerical analysis matlab)

本程序是运用SVM来实现人脸识别算法，能直接运行且能进行二次开发(This procedure is to use SVM to implement face recognition algorithm that can run directly and can perform a secondary development)

m-k突变检验及趋势检验，可以很好的解释气候等变化的显著性趋势和突变点(Mk mutation test and trend test, can well explain the climate change trend and the significance of mutations)

介绍eeacc pacc pacs,发表国外期刊或者核心期刊都必须要的(Introduction eeacc pacc pacs，Post foreign journals or periodicals must be the core)

grails bookmark例子程序在2.0上的实现(grails bookmark sample in grails 2.0)

解决TSP问题的TS算法MATLAB实现，其中加入了变异算法，当然也可以去掉这个步骤，调用TS_TSP(N, inStart, IsBianYi)，N是城市数目，inStart是起始城市的序号，IsBianYi就是选择变异否，如果为0则不要变异，否则就是结合变异算子的TS算法。 至于下面的参数可以自己调： T：总的循环次数； tabulength：禁忌长度； Pby：变异概率； (Solve the TSP problem MATLAB realize TS algorithm, which joined the variance algorithm, of course, this step can also be removed, call TS_TSP (N, inStart, IsBianYi), N is the number of cities, inStart is the serial number of the starting cities, IsBianYi is to choose variation has, if not for the variation of 0, otherwise, it is combined with mutation of the TS algorithm. As for the following parameters can be their own tune: T: total number of the cycle tabulength: taboo length Pby: mutation probability )

一种改进的基于线性区域增长的立体匹配算法(The improvement of regional growth based on linear three-dimensional matching algorithms)