bianmadematlabshixian

通信中，解码，解卷积码，它为一个MATLAB编程(Binary random number generator to generate a random sequence program for MATLAB Programming)

matlab算法大全之微分方程建模，很有用的编程书籍(the matlab algorithm Daquan differential equations modeling)

SG滤波，用于时间序列数据的平滑处理，内容有待完善(SG filtering for smoothing time series data, content needs to be improved)

带有MPPT功能的光伏阵列Matlab通用仿真模型(PV array with MPPT function Matlab generic simulation model)

matlab中使用libsvm进行分类预测时对数据进行归一化。(Data normalization)

说明：  duffing方程的仿真及计算程序，可用于信号的处理机仿真运算，也可进行其它的数学运算。(duffing equation simulation and calculation procedures can be used to signal processor simulation computing, but also for other mathematical operations.)

More material can be found at the web sites for EE364A (Stanford) or EE236B (UCLA), and our own web pages. Source code for almost all examples and figures in part 2 of the book is available in CVX (in the examples directory), in CVXOPT (in the book examples directory), and in CVXPY. Source code for examples in Chapters 9, 10, and 11 can be found here. Instructors can obtain complete solutions to exercises by email request to us please give us the URL of the course you are teaching.

说明：  以直驱永磁风力发电系统为研究对象，提出了一种双变化率步长的最大功率跟踪混合控制策略， 并用MATLAB 进行风力发电系统建模与控制策略的仿真验证。(Taking direct drive permanent magnet wind power generation system as the research object, a hybrid control strategy of maximum power tracking with double rate of change step is proposed, and the modeling and control strategy of wind power generation system are simulated and verified by MATLAB.)

simple simulink model of FSK

Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión 2.12) f = 0.9 frecuencia en GHz landa = 0.3/f en m R = -1 coeficiente de reflexión en tierra ht = 10 altura del transmisor en m hr = 2 altura del receptor en m Gt = 1 Gr = 1 Pt = 1 d=10:.1:100000 phase_diff = 4*pi*ht*hr./(landa*d) aproximación Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2) Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2) figure(1), clf, plot((d),10*log10(Pr/max(abs(Pr)))) grid xlabel( log_1_0(d) ) ylabel( Potencia recibida (dBm) )