zishiyingfenpin

多火电厂主汽温度控制系统的过程控制进行仿真(Of the thermal power plant main steam temperature control system process control simulation )

说明：  对信号的功率谱估计采用BT法功率谱估计。在MATLAB中调试通过。(The power spectrum of the signal is estimated that the use of BT power spectrum estimation method. In MATLAB in the debugger through.)

matlab最优化程序包括 无约束一维极值问题 进退法 黄金分割法 斐波那契法 牛顿法基本牛顿法 全局牛顿法 割线法 抛物线法 三次插值法 可接受搜索法 Goidstein法 Wolfe.Powell法 单纯形搜索法 Powell法 最速下降法 共轭梯度法 牛顿法 修正牛顿法 拟牛顿法 信赖域法 显式最速下降法(matlab optimization program includes one-dimensional extremum problem without constraint advance and retreat method Fafei Bo Fibonacci golden section method the basic Newton method, global Newton method Newton secant parabola method acceptable to the three interpolation methods Wolfe.Powell search method Goidstein simplex method Searching Powell steepest descent method conjugate gradient method modified Newton method Newton Newton trust region method to be explicitly steepest descent method)

高斯模拟污染物扩散，数据为深圳2012年西风的，数学建模题(Gauss simulation of pollutant diffusion data for Shenzhen in 2012, the west wind, mathematical modeling problem)

OFDM调制解调算法中的下变频算法以及matlab的实现方法(Down-conversion algorithm OFDM modulation and demodulation algorithm and MATLAB implementation)

说明：  用matlab实现窄带信号的测向算法，可实现的(using Matlab achieve narrowband signal to the test algorithm, achievable)

erms 均方差图像误差检验，用于两张图片之间的对比(erms mean square error test images)

这是一个解决tsp问题的代码，采用遗传的方法进行编程，大大的简化了最优规划迭代的问题，是的程序运行的快速准确(This is a solution to the problem tsp code, using the method of genetic programming, which greatly simplified the problem of optimal planning iteration, the procedure is fast and accurate operation)

在一个自己设置的已知障碍的环境下，用势场法做路径规划，起点，目标位置都是已知。我用matlab做的(themselves in a set of known obstacles to the environment, with potential field do path planning, the starting point, target locations are known. I used Matlab to do)

matlab图像处理实例详解源程序，很好很实用的图书源码，供给大家一起学习，共同进步哈。(Detailed examples matlab image processing source code, very very useful book source and supply everyone learning and common progress ha.)