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DCT数字图像水印算法的源代码！含有图像的水印的嵌入和水印的提取！(DCT digital image watermarking algorithm source code! Containing the watermark image watermark embedding and extraction!)

Along with image stitching and motion direction detection, Phase correlation has important role in detection of copy move forgery.These papers elaborate role of phase correlation in "Copy Move forgery". Soon I will upload running code for this application.

opyright 2013-2014 Fereidoun Ahourai, Mohammad Al Faruque This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version. This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details. You should have received a copy of the GNU General Public License along with this program. If not, see <http://www.gnu.org/licenses/>.

matlab图像分割实例，检测运动汽车，割调用库函数实现，带注释，简单易懂；(matlab image segmentation example, detection of vehicle movement, cutting call the library functions, with comments, easy to understand )

利用多尺度小波分解函数dwt2对图像进行二尺度小波分解（仍然采用db1小波）((Still using db1 wavelet multi-scale wavelet decomposition of the two-scale wavelet decomposition function dwt2 image))

说明：  采用10阵元的阵元间距为1/2波长的均匀线阵，估计两个不相干的信号源的波达方向。假设信号 源分别来自 和 方向，信噪比分别为10dB和20dB；并假设样本数为100。使用music算法实现DOA估计(music algorithm used for doa estimation)

ecg filter, svd, filter 128 hz and 256 hz

最优化理论及其matlab设计中的armijo算法，用于最优化搜索算法的求解步长(Optimization theory and matlab design armijo algorithm for optimizing search algorithm for solving step)

最大似然译码的程序，用MATLAB编写的，很实用的例子(Maximum likelihood decoding process, using MATLAB written a very practical example of)

Modelo de dos rayos de Andrea Goldsmith (figura 2.5, según expresión 2.12) f = 0.9 frecuencia en GHz landa = 0.3/f en m R = -1 coeficiente de reflexión en tierra ht = 10 altura del transmisor en m hr = 2 altura del receptor en m Gt = 1 Gr = 1 Pt = 1 d=10:.1:100000 phase_diff = 4*pi*ht*hr./(landa*d) aproximación Pr = Pt*((landa/(4*pi))^2)*((abs((sqrt(Gt)./d) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff)))./d)).^2) Pr = Pt*((landa/(4*pi))^2)*(1./d).*((abs((sqrt(Gt)) + (R*sqrt(Gr).*(exp(-sqrt(-1)*phase_diff))))).^2) figure(1), clf, plot((d),10*log10(Pr/max(abs(Pr)))) grid xlabel( log_1_0(d) ) ylabel( Potencia recibida (dBm) )