matlab-hough

标准粒子群优化算法的程序。运用matlab编写。(Standard particle swarm optimization procedures. Using matlab prepared.)

核回归方法图像复原算法工具包，内含完整MATLAB代码，以及测试图像、相应的参考文献。(kernel regretion based image restoration algorithm,including the whole MATLAB code,tested image and the ralated referances.)

ac and dc power transmissions. No alterations of conductors, insulator strings, and towers of the original line are needed

配电网潮流 matlab 经典33节点 前推回代法潮流计算 回代电流 前推电压 带注释(power flow calculation mathod)

用matlab 实现各种算法，如burg算法，LMS算法，比较基础，适合初学者。(Using matlab implementation of various algorithms, such as burg algorithm, LMS algorithm, a comparative basis, suitable for beginners.)

本程序为丹麦奥尔堡大学开发的基于Matlab/Simulink的风电专用工具箱，包含专用的风模型、电机模型、变换器及控制策略等内容，著名的风电软件DIGSILENT等软件就是基于该软件开发的。(This toolbox has been developed during the research project “Simulation Platform to model, optimize and design wind turbines” and it has been used as a general developer tool for other three simulation tools: Saber, DIgSILENT, HAWC. The report provides first a quick overview over Matlab issues and then explains the structure of the developed toolbox. The attention in the report is mainly drawn to the description of the most important mathematical models, which have been developed in the Toolbox. )

基于Matlab的CDMA通信系统下行信道的仿真_张兵(CDMA communication system simulation )

Part I presents the fundamental concepts andMATLAB
programs for simulation of wireless channel modeling techniques, including large-scale fading, small-scale fading, indoor and outdoor channel modeling, SISO channel modeling, and MIMO channel modeling.

通过“魔术公式”轮胎模型，确定轮胎侧偏力与侧偏角的关系。(Through the "magic formula" tire model, the relationship between tire cornering force and side deflection angle is determined.)

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.)