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code for flat fadding

通过MATLAB仿真实现梯度校正最小二乘法的验证。(Gradient through the MATLAB simulation verification correction least square method.)

读入文件，对文件进行无损预测编码和解码，然后对文件进行DM编码和解码(Read the file, the file lossless predictive coding and decoding, and then the file encoding and decoding DM)

离散随机信号的计算机仿真(验证性实验)---仿真协方差函数为C（x)的高斯过程(Computer simulation of discrete stochastic signal validation experiments--- Simulation covariance function C (x) of the Gaussian process)

说明：  非线性最小二乘优化问题 非线性最小二乘优化问题的程序，欢迎各位下载(Nonlinear least squares optimization problem of nonlinear least square optimization procedure, to welcome you to download)

search in array by binary search

说明：  课本配套资料 飞思图书：神经网络理论与Matlab7实现 全部为.m格式代码(textbooks information supporting interchangeable books : neural network theory and achieving all of Matlab7. M code format)

通信系统中用matlab对系统的性能进行仿真，其中包括分集接收机(Communication systems using matlab to simulate the performance of the system, including the diversity receiver)

在MATLAB上运行，程序主要功能为改变输入图像的灰度和提取。(In MATLAB run, the program main function is to change the input image intensity and extraction.)

findEnergy.m 计算出图像的梯度图 findSeamImg.m 计算出所有可能的竖直缝 findSeam.m找出能量最小的一条竖直缝 removalMap.m将需要删除的N条竖直缝存储起来并按照索引逐条删除 SeamCut.m将选中的缝一条条的删除 SeamPlot.m在图中画出要删除的缝 Testseam.m调用以上函数的主程序(FINDENERGY creates an gradient img from a given RGB or grayscale image. FINDSEAMIMG finds the seam map from which the optimal (vertical running) seam can be calculated. FINDSEAM returns a column vector of coordinates for the pixels to be removed (the seam). SEAMPLOT takes as input an image and the SeamVector array and produces an image with the seam line superimposed upon the input image, x, for display purposes. SEAMCUT takes as input a RGB or grayscale image and SeamVector array to find the pixels contained in the seam, and to remove them from the image. REMOVALMAP takes a given image and finds the ordered set of (vertical) seams that are removed from an image and returns them in an array, where the Nth column in the array corresponds to the Nth seam to be removed.)