matlab-gui

Viterbi Algorithm & Viterbi Decoder Matlab Code.(Provided both soft & hard decision ability). Note: The main function is viterbi.m

The Art of Electronic 电子学（第二版 吴利民译）很经典的电子基础书籍(The Art of Electronic)

应用matlab进行图片去噪，简单的matlab程序。(The engineering image denoising is realized with matlab software system.)

LMD算法，对信号进行LMD分解，分解的层数可由自己定，并且能得出分解波形~(LMD algorithm, LMD decomposition of the signal,the decomposition of the layers can be set for oneself, and can come to break down waveform ~)

CMTF工具箱包含了耦合矩阵和张量矩阵的分解的matlab编码(Coupled Matrix and Tensor Factorization for Matlab)

说明：  遗传算法GA—模拟自然界遗传机制和生物进化论而成的一种并行随机搜索最优化方法。（具有“生存+检测”的迭代过程的搜索算法）基于自然界“优胜劣汰，适者生存”的生物进化原理引入优化参数形成的编码串联群体中，按照所选择的适应度函数并通过遗传中的选择、交叉和变异对个体进行筛选，使适应度值好的个体被保留，适应度差的个体被淘汰，新的群体既继承了上一代的信息，又优于上一代。反复循环，直至满足条件。(GA-A parallel random search optimization method that simulates natural genetic mechanisms and biological evolution. (Search algorithm with "survival + detection" iterative process) Based on the biological evolution principle of "survival of the fittest, survival of the fittest" in the natural world, the coding series formed by optimized parameters is introduced. Individuals are screened according to the selected fitness function and through genetic selection, crossover, and variation, so that individuals with good fitness values are retained, individuals with poor adaptability are eliminated, and new groups inherit the information of the previous generation., Better than the last generation. Repeat until conditions are met.)

球型机器人路径跟踪算法。 路径跟踪带带干扰 非线性PID算法(1. Circle following Parameter selection：Euler Fixed-step size:0.001 2. Run: first "robot_sim" and then "robot_plot" )

说明：  matlab的几个文件算法能实现图像分割，例如分水岭算法等,区域生长法等。(It can realize image segmentation, such as watershed algorithm and so on.)

森林火灾仿真，元胞自动机，可视化设计，非常经典(Forest fire simulation, cellular automata, visual design, very classic)

说明：  通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！(Generally, nonlinear integer programming is a NP problem with exponential complexity. If the constraints are more complex, MATLAB optimization toolbox and some optimization software such as lingo are often unable to be applied, even if they can be applied, they cannot give a satisfactory solution. At this time, we need to design a special optimization algorithm for the problem. Here is an example of genetic algorithm applied to nonlinear integer programming, for your reference!)