matlab-gui

基于matlab simulink搭建的buck降压斩波电路，模型正确可直接使用(Based on the the matlab simulink structures buck buck chopper circuit, the model is correct and can be used directly)

deduplication project

动态中继选择和功率分配策略，讨论在不同策略下的功率分配，寻找能使总的功耗最小的方法。(Dynamic relay selection and power allocation strategies discussed in different power allocation strategies, seeking to make the total power consumption is minimal approach.)

说明：  matlab的初级教程，适用于初级学习的人(matlab primary curriculum for primary learning)

此码为信号处理方面，干扰的抑制等，利用波束，分集器等算法(The code for signal processing, interference suppression, the use of the beam, diversity, etc. Algorithm)

功能描述：测试Levinson-Durbin算法 文件名：L_D_sim.m 测试用例： (1)x(n)+0.81*x(n-2)=u(n)，u(n)为高斯白噪声 (2)x(n)=u(n)+u(n-1)+u(n-2),u(n)为高斯白噪声 文件输出：两种测试用例情况下的功率谱 调用函数：function [A,E] = Levinson_Durbin_Algo(R,P) 被调用：无 作者：mingcheng 编写时间：2009-11-13 修改时间：2009-11-13 版本：V1.0 ( Function Description: Test Levinson-Durbin algorithm file name: L_D_sim.m test case: (1) x (n)+0.81* x (n-2) = u (n), u (n) is Gaussian white noise (2) x (n) = u (n)+ u (n-1)+ u (n-2), u (n) is Gaussian white noise file output: two tests use case in case of power spectrum call the function: function [A, E] = Levinson_Durbin_Algo (R, P) is called: No of: mingcheng write time :2009-11-13 modified :2009-11-13 version: V1.0 )

说明：  介绍了汽包锅炉燃烧控制系统的控制任务、量间关系、原则性控制方案、传统控制方法,以及解耦控制方法的发展 ,引入了 PID型神经网络控制系统的结构、学习算法、初始权值参数选取. MATLAB仿真结果表明 ,该控制系统对多变量强耦合时变的锅炉燃烧控制对象具有良好的解耦性能和自学习控制特性.(The control tasks, the relations between physical variables, the fundamental controlschemes, the conventional controlmethodsof the control system for steam drum boiler combustion)

说明：  matlab中位值滤波，可以对连续信号进行中位值滤波(matlab median filter, the signal can be continuous median filter)

在求解装备的资源约束型装配线平衡单目标优化问题时，采用用matlab解决改进的遗传算法。(The single objective problem is solved with matlab language.)

说明：  matlab科学计算继续上传，一共10个章节，由浅入深，几乎包括了绝大部分的科学计算方法以及仿真。本人把部分算法做了优化，更为完善(matlab scientific computing continue to upload, a total 10 chapters, easy-to-digest, almost, including most of the scientific method of calculation and simulation. I have done a part of algorithm optimization, a more perfect)