Mmodify-music-ROOT-MUSIC

用MATLAB实现跳频通信的的仿真与研究内容包括论文和gold码序列(Achieve frequency hopping communication with MATLAB simulation and study includes papers and gold code sequence)

AUTOMATIC BAUD RATE DETECTION FOR STANDARD BAUD RATES

最小均方自适应滤波器，是线性自适应滤波算法(LMS adaptive filters, linear adaptive filter algorithm)

分形的练习一 ①Koch曲线 用复数的方法来迭代Koch曲线 clear i 防止i被重新赋值 A=[0 1] 初始A是连接（0，0）与（1，0）的线段 t=exp(i*pi/3) n=2 n是迭代次数 for j=0:n A=A/3 a=ones(1,2*4^j) A=[A (t*A+a/3) (A/t+(1/2+sqrt(3)/6*i)*a) A+2/3*a] end plot(real(A),imag(A)) axis([0 1 -0.1 0.8]) ②Sierpinski三角形 A=[0 1 0.5 0 0 1] 初始化A n=3 迭代次数 for i=1:n A=A/2 b=zeros(1,3^i) c=ones(1,3^i)/2 A=[A A+[c b] A+[c/2 c]] end for i=1:3^n patch(A(1,3*i-2:3*i),A(2,3*i-2:3*i), b ) patch填充函数 end (Fractal Exercise One The ① Koch curve Plural iteration Koch curve clear i to prevent i is reassigned A = [0 1] initial A is a connection (0,0) and (1,0) of the segments t = exp (i* pi/3) n = 2 n is the number of iterations for j = 0: n A = A/3 a = ones (1,2* 4 ^ j) A = [A (t* A+ a/3) (A/t+ (1/2+ sqrt (3)/6* i)* a) A+2/3* a] end plot (real (A), imag (A)) axis ([0 1-0.1 0.8])   ② Sierpinski triangle A = [0 1 0.5 0 0 1] initialized A n = 3 the number of iterations. for i = 1: n A = A/2 b = zeros (1,3 ^ i) c = ones (1,3 ^ i)/2 A = [A A+ [c b] A+ [c/2 c]] end for i = 1:3 ^ n patch (A (1,3* i-2: 3* i), A (2,3* i-2: 3* i), b ) patch filled function end)

改进单纯形法在matlab中的实现。通过该程序可以实现优化目标。(Improved simplex method is implemented in matlab.Through the program can realize the optimization goal. )

角度和时延联合估计的DOA算法，在matlab环境下实现(Angle and delay DOA joint estimation algorithm in matlab environment to achieve)

MATLAB程序中提供了脉压，MTI，MTD的实现方法(lllll)

Slow feature analysis using matlab

数字信号处理2matlab误差性能分析 数字信号处理2matlab误差性能分析(error performance analyze surface)

信道估计的几个算法比较（matlab源代码）(Several channel estimation algorithm for comparison)