PARALLEL-PORT-CONTROLLER-USING-MATLAB

turbo simulation with the use of functions part 1

基于Huang TS提出的快速中值滤波算法的MATLAB程序(Based on Huang TS a fast median filtering algorithm MATLAB program)

说明：  MATLAB 环境下的 Alamouti qpsk 仿真，可以运行通过(Alamouti qpsk MATLAB simulation environment, you can run through it)

Incremental Conductance: In the incremental conductance algorithm, we find the derivative of PV output power with respect to output voltage. The dP/dV is evaluated and the algorithm keeps checking this value and changes the duty cycle such that dP/dV=- I/V = 0. This is the point at which maximum power is transferred. If dP/dV is greater than zero, it means the PV is operating to the left of the MPP. If dP/dV is less than zero, it means the PV is operating to the right of the MPP. This method holds an advantage over the perturb and observe method since it is fast and does not oscillate around MPP. However, the method could experience instability due the involvement of the derivative.

BPSK的simulink仿真，及其完整的参数设置，频谱分析图和星座图(Simulink simulation of BPSK, and a complete set of parameters, the spectrum and constellation diagram analysis)

MatLab图形绘制功能口令及代码，很不错，值得看看(MatLab graphics rendering capabilities password and code, very good, worth a look)

he form of the Burgers equation considered here is: du du d^2 u -- + u * -- = nu * ----- dt dx dx^2 for -1.0 < x < +1.0, and 0.0 < t. Initial conditions are u(x,0) = - sin(pi*x). Boundary conditions are u(-1,t) = u(+1,t) = 0. The viscosity parameter nu is taken to be 0.01 / pi, although this is not essential. The authors note an integral representation for the solution u(x,t), and present a better version of the formula that is amenable to approximation using Hermite quadrature. This program library does little more than evaluate the exact solution at a user-specified set of points, using the quadrature rule. Internally, the order of this quadrature rule is set to 8, but the user can easily modify this value if greater accuracy is desired.

拉丁超立方抽样，调用方式如下：S=lhs(m,dist,mu,sigma,lowb,upb) m: a scalar,the number of sample points dist: A row with distribution type flags of basic random variables the value of the flag can be 1 (for uniform distribution, 2(for normal distribution), 3(for lognormal) and 4(for extreme type 1). mu: A row vector comprising the mean value of basic random variables. sigma: A row vector with its length equaligng to mu,including the standard deviation of basic random variables. lowb: a row vector with its elements are the lower bound of the sampling interval upb:a row vector with its elements are the upper bounds of the sampling interval dist,mu,sigma,lowb,upb must have the same length. Output argument S: sampling point matrix, of which each row is a sampling point.(code of Latin Hypercube Sampling)

Performs discrete total variation denoising (TVD) using a primal-dual interior-point solver.

实现全搜索运动估计算法，实现三步法快速搜索算法(achieve full search motion estimation algorithm, the three-step realization of Fast Search Algorithm)