测试代码

用matlab仿真最优化算法，有文档介绍 (Matlab simulation optimization algorithms, the document describes)

说明：  wigner_hough 算法的实现 wigner_hough 算法的实现(the realization of wigner_hough the realization of wigner_hough)

包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，微分方程组数值解方法，使用高阶累积量对MPSK信号进行调制识别，预报误差法参数辨识-松弛的思想，进行逐步线性回归，现代信号处理中谱估计在matlab中的使用。

段海滨著，蚁群算法原理及应用，PDF格式全文(Section of beach with, ant colony optimization theory and applications, PDF)

介绍了matlab的命令大全，以及相关的matlab的应用(Introduced the matlab command Daquan, and related applications matlab)

主要是用c语言实现matlab中的fftshift函数的，(Mainly used c language matlab in fftshift function,)

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.)

灰色预测方法，重点讲解的灰色预测的基本理论和详细实现方案，给出了5个用matlab编好的灰色预测程序的实现。(Grey prediction method to highlight the basic theory of gray forecast and detailed implementation gives five good gray prediction using matlab program implementation.)

高阶谱分析，很实用，能帮助分析非平稳信号(Higher order spectral analysis, it is useful to help analyze non-stationary signals)

利用贝叶斯原理估计混合logit模型的参数，包含优化类的几个简单示例程序，包含收发两个客户端的链路级通信程序,包括随机梯度算法，相对梯度算法，虚拟力的无线传感网络覆盖，独立成分分析算法降低原始数据噪声。