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小波变换(Wavelet)实现数字零水印源代码(Simple wavelet transform (Wavelet) digital Watermarking source code)

BFGS算法: 可以解决无约束的最优化问题，如求目标函数的极值等。(BFGS algorithm: can solve unconstrained optimization problems, such as seeking the extreme, such as the objective function.)

说明：  在matlab2019B中，已经将princomp函数改为了pca函数，功能相同，函数名改变，所以如果要使用，记得将老版本的代码中的princomp改为pca。(In MATLAB 2019b, the principal function has been changed to PCA function. The functions are the same, and the function name changes. So if you want to use it, remember to change the principal function in the old version of the code to PCA.)

说明：  个人做的AM调制数字解调simulink仿真模块，大家多交流(The AM modulation personal digital demodulation simulink simulation module, we more exchanges)

上传的内容主要是QPSK误码率仿真，保证可以运行(From the contents of the QPSK bit error rate simulation is mainly to ensure that you can run)

说明：  此代码为π_4DQPSK解调源程序，用MATLAB实现,使用差分方式。(This demodulation π_4DQPSK source code using MATLAB to achieve, the use of differential mode.)

Robust control with matlab

DTW算法的程序，申请两个n*m的矩阵D、d,分别为累积距离和帧匹配距离。这里n和m为测试模版与参考模版的帧数。然后通过一个循环计算两个模版的帧匹配距离d。接下来进行动态规划，为每个格点 （i，j）都计算其三个可能的前续格点的累积距离D1，D2，D3。考虑到边界问题，有些前续格点可能不存在，因此加入一些判断条件最后利用最小值函数min()，找到三个前续格点的累积 距离作为累积距离，与当前帧的匹配距离d（i，j）相加，作为当前格点的累积距离。该计算过程一直达到格点（n，m），并将D（n，m）输出，作为模版匹配的结果。(DTW algorithm procedures, apply two n* m matrix D, d, respectively, accumulated distance and frame matching distance. Where n and m is a reference test pattern and the template frames. Then through a loop to calculate two frames template matching distance d. Next, dynamic programming, for each grid point (i, j) are calculated from the cumulative D1 before the renewal of its three possible lattice point, D2, D3. Taking into account the boundary problem, some former continued grid point may not exist, so add some conditions to determine the final use of the minimum function min (), found three former continued accumulation of grid points cumulative distance as the distance from the current frame to match the d (i, j) added, and a current cumulative distance grid. This calculation has reached the grid (n, m), and D (n, m) output, as a result of template matching.)

matlab程序能够实时接收COM数据并提取有关信息。(matlab program can receive real-time COM data and extract relevant information.)

维纳噪声抑制，1、 实验原理是利用信号之间的相关性进行信号估计，从而将噪声滤除； 2、 辅助观测信号的噪声抑制可利用Wiener-Hopf方程 求出维纳滤波器的系数 ，式中 是 的自相关阵， 是输入信号 和滤波器输入 之间的互相关矢量； (Wiener noise suppression, 1, experiment is the use of the correlation between the signals for signal estimation, which will filter out the noise 2, the auxiliary noise suppression observed signal Wiener-Hopf equation can be obtained by Wiener filter coefficients, where is the autocorrelation matrix, is the input signal and filters the cross-correlation between the input vector )