matlab12

lfm信号的处理，lfm信号的处理的matlab仿真(lfm signal processing)

Ising model 2D simulation

将角度和幅度的二维数组画成dB值的polar图( POLARDB Polar coordinate plot. POLARDB(THETA, RHO) makes a plot using polar coordinates of the angle THETA, in radians, versus the radius RHO in dB. The maximum value of RHO should not exceed 1. It should not be normalized, however (i.e. its max. value may be less than 1). POLAR(THETA,RHO,S) uses the linestyle specified in string S. See PLOT for a description of legal linestyles. )

使用Matlab计算Lyapunov 指数 小数据量法(Matlab Lyapunov )

美国航空航天局AVIRIS数据介绍PPT，以及免费数据下载地址(NASA AVIRIS data presentation and data Download free)

文件中用matlab建立了关于异步电机的调速仿真模型，包括变频调速，矢量控制，串电阻调速，调压调速模型。(Matlab file with the establishment of the speed control of induction motor on the simulation model, including the Frequency Control, vector control, speed control resistor string, speed regulator models.)

DRNN网络简单代码，n个样本个数，输出为权值矩阵(DRNN network of simple code, n the number of samples, the output weight matrix)

两个相控阵天线时域波的传播不同阶段主要表现不同(In this code, the time domain wave propagation for two phased array antennas at different phase differences are shown. Thanks to the constructive and destructive interferences, the main beam of the wave is steered towards angle of interest. This code is used to generate the following animation: )

自编的几个关于数字信号基本运算的程序，由此可以大大扩展信号运算的自由性与简洁性。(wrote several digital signal on the basic operations procedures, It can be greatly expanded signal operation and the freedom of simplicity.)

为了有效地应用遗传算法解决 鲁棒控制系统设计问题，将遗传算法与局部优化方法相结合，提出了基于降维扫描方法的自适应多目标遗传算法（DRSA-MOGA）。通过引入适应度函数标准化方法、基于最优Pareto解集搜索的降维扫描方法和适应度函数自适应调整方法，提高了算法的全局优化性能和局部搜索能力。仿真结果表明，DRSA-MOGA算法在不损失解的均匀度的情况下可以达到很高的逼近度(For effective application of genetic algorithms to solve robust control system design problems, genetic algorithms and local optimization method, based on reduced-order adaptive scanning method multi-objective genetic algorithm (DRSA-MOGA). Fitness function through the introduction of standardized methods, based on the Pareto optimal solution set of search methods and dimensionality reduction scan fitness function adaptive adjustment method, the algorithm improve the performance of global optimization and local search capabilities. The simulation results show that, DRSA-MOGA algorithm solution without loss of uniformity can be achieved under a high degree of approximation)