MATLAB_SIMULINKspwmbianpingtiaosu

谱估计的music算法，比较典型的谱估计方法，研究了半天才写出来的哦(The music spectrum estimation algorithm, a typical spectral estimation method to study for a long time to write it out, oh)

计算机日期时间显示 ， 将其变成彩虹图，颜色随时间变化(show date and time in your computer)

用了三帧差分法、背景差分法来辨别图片中的运动物体，包含了报告和算法说明(Spent three difference method, background subtraction method to identify pictures of moving objects, including a description of the report and algorithms)

msk的调制解调MATLAB源代码，很不错，值得看看(msk modulation and demodulation MATLAB source code, very good, worth a look)

matlab fig中直方图加入阴影斜线(matlab fig histogram adding shadows slash)

Capacity model for MATPOWER

说明：  eemd算法原程序及举例，用于信号分解，在emd基础上优化程序(EEMD algorithm original program and examples for signal decomposition, optimization program based on EMD)

TSP问题（又名：旅行商问题，货郎担问题）遗传算法通用matlab程序 D是距离矩阵，n为种群个数 参数a是中国31个城市的坐标 C为停止代数，遗传到第 C代时程序停止,C的具体取值视问题的规模和耗费的时间而定 m为适应值归一化淘汰加速指数,最好取为1,2,3,4,不宜太大 alpha为淘汰保护指数,可取为0~1之间任意小数,取1时关闭保护功能,建议取0.8~1.0之间的值 R为最短路径,Rlength为路径长度( TSP problem (also known as: traveling salesman problem, traveling salesman problem) genetic algorithm generic matlab program D is the distance matrix, n is the population number of parameters a C coordinates of the 31 cities to stop algebra, genetic to C on behalf of the program stops, the specific values ​ ​ of C depending on the size and time-consuming, m alpha for the fitness value of the normalized phase-out acceleration index, and is best taken as 1, 2, 3, 4, and not too much eliminated the protection index, it is desirable for any decimal between 0 and 1, taking 1:00 off the protective function, it is recommended to take a value between 0.8 to 1.0 R for the shortest path, Rlength for the path length)

数学建模迪卡斯特拉算法，最短路问题图论的应用(Mathematical modeling Ducasse Terra algorithm)

基于经典的优化算法--模拟退火算法的旅行商问题寻优实现，该算法比较经典，可用于后续一些性能对比分析(The traveling salesman problem-- the classical optimization algorithms and simulated annealing algorithm is implemented based on the algorithm, compare the classic, can be used for the analysis of subsequent performance comparison)