harvest

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 )

it contains all the details of the following software requirement specification.

用adaboost算法生成基支持向量机分类器，并对识别结果进行简单投票法集成。附有支持向量机工具箱和adaboost算法流程说明。(Adaboost algorithm to generate the base with a support vector machine classifier, and the recognition result is a simple voting method integration. With support vector machine algorithm toolbox and adaboost process description.)

模糊控制仿真模型,采用MATLAB进行模糊控制系统仿真(FUZZY CONTROL SIMULINK)

通过ZMNL方法，完成了对瑞丽杂波，威布尔杂波，对数正态分布杂波以及K杂波的建模仿真，并对功率谱以及杂波幅度概率分布进行分析仿真(By ZMNL method, completed the Ruili clutter, Weibull clutter, lognormal and K clutter clutter modeling and simulation, and the power spectrum and amplitude probability distribution clutter simulation analysis)

比较LMS，RLS, 和Kalman滤波器多用户检测器的性能(LMS comparison, RLS, and the Kalman filter multi-user detector performance)

利用MATLAB对图像进行分解为高频和低频部分，在重构得到图像的高低频部分并显示出来(MATLAB decomposed into high-frequency and low-frequency part of the image, the high-low-frequency part of the image in the reconstruction and display.)

Sequentielle Quadratische Optimierung fuer f(x) = Min!, g(x) >= 0, h(x) = 0 unter Regularitaetsbedingung FUNKTIONEN: gp.m, gp_g.m, restor.m, sigini.m name_f.m: Zielfunktion/Gradient name_g.m: Ungleichunen/Gradienten name_h.m: Gleichungen/Gradienten INPUT: name Name des Problems x zulaessiger Punkt als Startvektor OUTPUT: (x,y,z) Kuhn-Tucker-Punkt f = f(x) Funktionswert errorcode = 1: Max. Schrittzahl in Iteration errorcode = 2: Max. Schrittzahl in Backtracking errorcode = 3: x nicht zulaessig

这是个雷达建模程序，用于雷达信号处理专业，对于两个目标的雷达脉冲信号压缩。(radar sigal compress)

RS纠错编码原理及其实现方法[第三版] 鉴于很多读者来信，特别是初学者对于如何求得RS生成多项式g[x]不是甚理解，特给出计算g[x]的MATLAB程序。(RS error-correcting coding theory and implementation methods [third edition] in view of a lot of letters from readers, especially for beginners on how to get RS to generate polynomial g [x] is not even understanding, give special calculation of g [x] in MATLAB procedures.)