PSO

说明：  :针对遗传算法易陷入局部最优的不足,在标准遗传算法基础上加入了三个新的操作- 复原、重构和录优操作,使改 进后的遗传算法收敛于全局最优,并在此基础上以路边约束、动态避障和路径最短作为适应度函数,提出了动态避障的路径 规划方法。通过实验仿真验证了算法的有效性、准确性和实时性,并与基于以往的遗传算法的路径规划方法进行比较,结果 表明本文提出的方法在产生的路径长度和算法运行时间上都具有更优的性能。(: Genetic algorithm for the lack of easy to fall into local optimum, in the standard genetic algorithm based on the insertion of three new operations- rehabilitation, reconstruction, and excellent operational record, so that the improved genetic algorithm converges to the global optimum, and in this by the roadside on the basis of constraints, dynamic obstacle avoidance and the shortest path as the fitness function is proposed dynamic obstacle avoidance path planning method. Simulation results through experiments the effectiveness of the algorithm, accuracy and real-time, and with previous genetic algorithm based path planning method to compare the results show that the method proposed in the resulting path length and algorithms have a running time better performance.)

轨道根数和位置的转换 naname和nadata是行星的名字和轨道根数(The the conversion naname nadata of the orbital elements and the location is the name of the planet' s orbital elements)

dsb modulation in matlab

用Ritz-Galerkin方法解边值问题： u +u=-x,0<x<1, u(0)=u(1)=0,精确解为u*(x)=sinx/sin1-x； 得出结果与精确解作比较，画出误差分析图(With the Ritz-Galerkin method to solve the boundary value problem: u' ' + u =- x, 0 <x<1, u(0)=u(1)=0,精确解为u*(x)=sinx/sin1-x； 得出结果与精确解作比较，画出误差分析图)

比例导引算法的实现，包括两个M文件，一个主程序和一个被调用的函数文件(Proportional navigation algorithm, including two M-files, a main program and a call function files)

tabu search algorithm for tsp problem

Implementation of Quadrature Amplitude Modulation-Demodulation

本程序是用MATLAB实现的小波零树图像压缩算法，请阅读附件中的README得到用法。注意，目前只是适用128×128的图像。(This procedure is used MATLAB realize the wavelet zerotree image compression algorithm, please read the README in the annex to be usage. Note that currently only applies to 128 × 128 images.)

svpwm实现，可以看看，有程序流程，算法详解(svpwm achieve, you can see, there is the program flow, the algorithm Detailed)

最新数模题目A题解法MATLAB仿真的MATLAB源程序(A subject of the latest digital-analog problem solution MATLAB simulation)