Test_lload_1

说明：  自己编的遗传RBF神经网络程序，RBF神经网络，txt文件调试通过(Own series of genetic procedures for RBF neural network, RBF neural network, txt file debugging by)

说明：  混合Newton发求最小值.原理是基于Newton法，求解非线性方程。利用和最速下降法混合，避免了Newton的不足(ues mix Newton method to solve the problem: min f(x))

单神经元PID控制器的仿真与应用实例。比较常规PID控制器，得其优缺点(single neuron PID controller simulation and application examples. Comparing Conventional PID controller, to gain advantages)

对标的资产过程服从几何布朗运动的期权用蒙特卡洛模拟数值算法进行定价(The underlying asset process follows a geometric Brownian motion of options using Monte Carlo simulation, numerical algorithms pricing)

类似于心电图在显示屏上慢慢地绘制I love U，是理工男表白的绝佳工具。(Similar to the electrocardiogram slowly draw I love U in the display is the perfect tool Polytechnic male confession)

卫星移动通信的信道特点及仿真模型，AWGN信道估计matlab仿真。(Satellite mobile communication channel characteristics and simulation model, AWGN channel estimation matlab simulation.)

matlab 绘图工具箱，可以方便的使用工具箱程序，作图。(matlab drawing toolbox, you can use the Toolbox program mapping.)

autocov computes the autocovariance between two column vectors X and Y with same length N using the Fast Fourier Transform algorithm from 0 to N-2. The resulting autocovariance column vector acv is given by the formula: acv(p,1) = 1/(N-p) * sum_{i=1}^{N}(X_{i} - X_bar) * (Y_{i+p} - Y_bar) where X_bar and Y_bar are the mean estimates: X_bar = 1/N * sum_{i=1}^{N} X_{i} Y_bar = 1/N * sum_{i=1}^{N} Y_{i} It satisfies the following identities: 1. variance consistency: if acv = autocov(X,X), then acv(1,1) = var(X) 2. covariance consistence: if acv = autocov(X,Y), then acv(1,1) = cov(X,Y)

压缩感知的仿真程序，此程序使用OMP算法，实现对一维输入信号的重构(This package includes 2 folders. Folder mp contains mp algorithmn and Folder omp contains omp algorithmn 。)

this code is for calculation the field distribution in 2D photonic crystals with FDTD method