MATLAB

Parzen窗法，由样本求概密估计，例为一维正态分布和双峰均匀分布，内附随机数生成的原理说明。(Parzen window method, by the sample density estimate for estimated Example for one-dimensional normal distribution and bimodal uniform distribution, random number generator containing a description of the principle.)

E=input( enter the generator voltage: ) V=input( enter the infinite bus voltage: ) Gx=input( enter the reactance of generator: ) L1x=input( enter the line reactance: ) L2x=input( enter the line reactance: ) L3x=input( enter the line reactance: ) L4x=input( enter the line reactance: ) Pi=input( enter the input power: ) X1=Gx+L1x+((L2x*L3x)/(L2x+L3x))+L4x Pm1=E*V/X1 DO=asin(Pi/Pm1) A=((L2x*L3x)/(2*(L2x+L3x))) C=A B=((L3x/2)^2)/(L2x+L3x) X2=(Gx+L1x+A)+(L4x+A)+(Gx+L1x+A)*(A+L4x)/B Pm2=(E*V)/X2 X3=Gx+L1x+L2x+L4x Pm3=(E*V)/X3 DC=input( enter the fault clearing angle: ) Dm=(3.14-asin(Pi/Pm3)) a1=quad( sin ,DO,DC) A1=(Pi*(DC-DO)-Pm2*a1) a2=quad( sin ,DC,Dm) A2=Pm3*a2-Pi*(Dm-DC) if(A2>=A1) disp( the system is stable ) else disp( the system is unstable ) end Dcc=acos((Pi*(Dm-DO)-Pm2*(cos(DO))+Pm3*(cos(Dm)))/(Pm3-Pm2)) disp( critical clearing angle: ) Dcc

我开始学习时看的matlab教程，很好的学习资料，主要里面的例子，代码95 以上都是正确的，非常方便。(Matlab tutorial, I began to learn to see the good learning materials, mainly inside the example, more than 95 of the code are correct, very convenient.)

基于FPGA的IIR多相滤波器设计，利用多相滤波器完成对信号的处理(FPGA-based IIR polyphase filter design)

Simulation of an Elastic lidar system.

说明：  基于蚁群算法求解对称非对称旅行商问题 (Solving Symmetrical and DisSymmetrical TSP base on Ant Colony Algorithm)

FDTD的MATLAB代码，二维成像模型(FDTD MATLAB)

实现奇异值分解，可以去除随机噪声，在物探领域应用广泛(Realize the singular value decomposition and reconstruction)

Script for computing the BER for BPSK modulation in a Rayleigh fading channel with and without transmit beamforming

说明：  任意给定点坐标，可以拟合出B样条曲线，用Matlab写的，算法明确。(arbitrary coordinates to the spot, could fit the B-spline curves, using Matlab written in the algorithm clear.)