edge-extract

基于谱减法语音增强matlab程序，很好的去除噪声，得到增强的语音信号(Speech enhancement based on spectral subtraction matlab program, very good to remove noise, enhanced voice signal)

在matlab平台下进行的匹配滤波器的检测仿真，在不同的信噪比，相同的概率情况的仿真曲线(Matched filter detection in Matlab platform simulation, the simulation curve in a different signal to noise ratio, the same probability)

f16横侧向特征跟配置控制设计和LQR最优控制设计(F16 the eigenvalues of the horizontal lateral configuration and LQR optimal control design)

an algorithm for solving the "hot" compressed sensing problem. The file includes the matlab programme and a pdf document of the principle of the algorithm

MATLAB 潮流计算程序，前推回代方法计算潮流分布(MATLAB flow calculation procedure, forward and backward substitution trend of the distribution method)

归一化LMS算法，自己更改参考信号和期望信号(normalized LMS algorithm，change the reference signal and desired signal by yourself)

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.)

FIR滤波器的频率抽样法,对照胡广书教师的教材例子进行了实现(FIR filter frequency sampling method,according to the example of Hu Guangshu s book《Digital Signal Processing》)

tsp using genetic agorithm

OFDM with turbo codes which will provide more description than the other error correcting codes