TrabalhoOndas2

现我做了一个基于RHR算法的李氏指数计算方法，收敛速度很快，精确度也还可以，现传上：(Now I had a RHR algorithm based on Lyapunov exponent calculation methods, fast convergence, accuracy can also now Chuan on:)

lEVEL sET SEGMENTATION

FSK modulation matlab model frequency deviation FSK modulacia so spojitou fazou je zalozena na frekvenciach, t.j. ak k=f/tb a k je celociselny nasobok oboch frekvencii. Ak k nie je celociselny nasobok, potom je to FSK modulacia s nespojitou fazou. fb - frekvencia vstupnych bitov bit/s fm - frekvencia pre 1 fs - frekvencia pre 0 >> FSK_mod(500,1000,3000,[0 1 0 1 1 0 1 0 0 1]) (FSK modulation matlab model frequency deviation FSK modulacia so spojitou fazou je zalozena na frekvenciach, t.j. ak k=f/tb a k je celociselny nasobok oboch frekvencii. Ak k nie je celociselny nasobok, potom je to FSK modulacia s nespojitou fazou. fb- frekvencia vstupnych bitov bit/s fm- frekvencia pre 1 fs- frekvencia pre 0 >> FSK_mod(500,1000,3000,[0 1 0 1 1 0 1 0 0 1]) )

说明：  matlab例程，初学者的福音，要的赶快下压，绝对好东西(matlab routines for beginners of the Gospel, to the quickly under pressure, never a good thing)

[x,f]= L01p_e(c,A,b,N)用枚举法求解下列 0-1线性规划问题min f=c *x, s.t. A*x<=b,x的分量全为整数0或1, 其中N表示约束条件 Ax ≤ b中的前N个是等式，N= 0时可以省略。 返回结果x是最优解，f是最优解处的函数值。 ([X, f] = L01p_e (c, A, b, N) with the following enumeration method for solving linear programming problems 0-1 min f = c ' * x, st A* x < = b, x is an integer of all components 0 or 1, where N represents the constraints Ax ≤ b in the equation of the first N, N = 0 can be omitted. Return result x is the optimal solution, f is the function value at the optimal solution.)

一个STBC的经典仿真程序，具有很好的参考价值(a classical simulation program is a good reference value)

用MATLAB绘制出钟表的时针、分针和秒针，并使钟表运行(Plotting the hour-hand, minute-hand, second-hand and realizing the the function of a watch by using MATLAB)

关于调制解调的matlab代码和simulink的实例(On the modem code and simulink of matlab examples)

这是与文本相关的声纹识别，利用MATLAB编写，不错的程序！！！！！(MATLAB)

信号的相关性是信号本身很重要的性质，本程序就是求随机信号的自相关性。(Signal is the relevance of the signal itself is very important properties, this procedure is for the random signals between autocorrelation. )