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ZNCC Normalized cross correlation
m = zncc(w1, w2)
Compute the zero-mean normalized cross-correlation between the two
equally sized image patches w1 and w2. Result is in the range -1 to 1, with
1 indicating identical pixel patterns.-ZN
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将源码中的地址目录改成所要分析的数据（数据可以使txt格式的），在MATLAB中运行就可以分析出数据的时域和频域图像，自相关互相关函数，以及功率谱图像-The source address in the directory into which to analyze the data (data can txt format), run in MATLAB can analyze the data in time domain and frequency domain image, from t
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这是一种简单的互相关图像匹配算法，已经在matlab环境下测试过，效果很好。附带两张匹配图片-This is a simple cross-correlation image matching algorithm has been tested in the matlab environment, the effect is very good. With two matching pictures
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包括广义互相关函数GCC时延估计，利用matlab针对图像进行马氏距离计算 ,可以得到很精确的幅值、频率、相位估计。- Including the generalized cross-correlation function GCC time delay estimation, Using matlab to calculate the Mahalanobis distance for the image, You can get a very accurate amplitude, frequ
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用MATLAB实现的压缩传感，包括广义互相关函数GCC时延估计，一种基于多文档得图像合并技术。- Using MATLAB compressed sensing, Including the generalized cross-correlation function GCC time delay estimation, Based on multi-document image obtained combining technique.
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采用Matlab软件，处理散斑照片进行互相关计算确定位移(Processing the speckle photograph and determining the displacement by cross correlation calculation)
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