pdtanker

这个程序实现了一个mini的MAC系统，唯一的缺点是并没有考虑到功率限制的问题。(This program realise a system of minipac,the only shortcoming is that the lack consideration of power constraint.)

一般离散信道容量的迭代算法，Matlab编程实现迭代算法，算法简单易懂，适合Matlab初级学者(The general discrete channel capacity iterative algorithm, Matlab programming iterative algorithm, algorithm is simple and easy to understand, suitable for Matlab primary scholar)

Pulse propagation in a negative index material

位置指令为幅值为1.0的阶跃信号，r（k）=1.0。网络结构为1-4-1，高斯函数的参数值取Cj=[-2 -1 1 2]T ，B=[0.5 0.5 0.5 0.5]T 。 网络权值学习参数为η=0.30，α=0.05 。PID控制各参数的初RBF网络控制，被控对象为G（s）= 取采样时间为1ms，采用Z变换进行离散化，离散化后的被控对象为 y(k)=-den(2)*y（k-1）-den(3)*y(k-2)+num(2)*u(k-1)+num(3)*u(k-2) 始值为，kp=20， kd=0.3， ki=0.1。 (Position command for the step signal amplitude of 1.0, r (k) = 1.0. The network structure is 1-4-1, the Gaussian function parameters taken Cj = [-2-1 1 2] T, B = [0.5 0.5 0.5 0.5] T. Weight learning parameter η = 0.30, α = 0.05. PID control parameters at the beginning of each RBF network control, the controlled object is G (s) = take the sampling time is 1ms, using the Z transform discrete, discretized controlled object is y (k) =-den (2)* y (k-1)-den (3)* y (k-2)+num (2)* u (k-1)+num (3)* u (k-2) initial value, kp = 20, kd = 0.3, ki = 0.1.)

说明：  这是完整的图像KSVD字典训练压缩感知去噪的程序(This is a complete image ksvd dictionary training compressed sensing denoising procedures)

This is a more complete (well the first one anyway) OFDM system. It involves all the necessary steps to generate an OFDM signal.

basically boost converter

the pattern recognition Matlab toolbox

用遗传算法优化参数的递归T-S模糊神经网络学习算法，值得一看。(Parameter optimization using genetic algorithm recursive TS fuzzy neural network learning algorithm, worth a visit.)

Classify using the local boosting algorithm