频偏估计算法测试例程

This Matlab Source File will help you understand BER of bpsk, qpsk, 8psk

Fminsearch不承认的约束限制。 不过简单的转换方法存在 转换成一个绑定的约束问题 无约束问题。 Fminsearchbnd用于酷似fminsearch， 除了边界应用到变量。 应用于国内的界限，利用 改造中的变量。 （二次型 单式，双罪恶界（十）。） 具有包容性的不平等的界限，它承认 边界值本身，但不准 在所有函数之外的范围评估。 请注意，fminsearchbnd允许用户准确地固定在某个给定值通过设置一个变量的确切范围相同的值。(Fminsearch does not admit bound constraints. However simple transformation methods exist to convert a bound constrained problem into an unconstrained problem. Fminsearchbnd is used exactly like fminsearch, except that bounds are applied to the variables. The bounds are applied internally, using a transformation of the variables. (Quadratic for single bounds, sin(x) for dual bounds.) The bounds are inclusive inequalities, which admit the boundary values themselves, but will not permit ANY function evaluations outside the bounds. Note that fminsearchbnd allows the user to exactly fix a variable at some given value, by setting both bounds to the exact same value.)

本程序运用小波分析法对信号进行3层分解，然后提取系数，去噪后对信号进行重构(This procedure using wavelet analysis of signal decomposition of 3-layer, and then extracted coefficients of the denoised signal is reconstructed)

在matlab环境下，导入DEM，计算地形坡度(calculate the slope)

quantizers1 by matlab

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)

在这里，我们使用图像处理检测和分类果病.......代码在Matlab

说明：  如何在C++中使用Matlab，这份资源希望能够帮助到大家。最近看了太多关于图象处理方面的内容。前辈们都很努力啊！(How to use C++ in Matlab, the resources that we hope to be able to help. Recently read too much on the aspects of image processing. Predecessors, have worked very hard ah!)

局部线性嵌入算法，由laurance等人于2000年science上发表，广泛应用于图像处理模式识别等领域，是一种流形学习算法。(the algorithm of locally linear embedding)

群搜索优化算法(Group search optimizer, GSO)函数优化程序，包含几种常用的单模及多模标准测试函数。运行demo即可。(Group search optimizer (GSO) program for nemerical funciton optimization. It contains several singlemodal and multimodal functions. Please run "demo".)