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对一幅彩色图像进行融合，用到颜色空间转换，数字矩阵到图像显示的转变，同屏显示其效果图，有待进一步研究(Color images of an integration, using the color space conversion, digital matrix image display to change, with the screen display the effect of map, be subject to further study)

说明：  matlab算法练习，包括牛顿迭代法，赛德尔迭代法等(matlab learning)

基于AFSA的光纤陀螺随机信号建模，跟大家交流下(AFSA based FOG random signal modeling, sharing with you the next)

信号的预处理，去除趋势项，以达到我们所要的信号的形式，效果比较好(Signal pre-processing to remove the trend term, we want to achieve in the form of signals, results were better)

fisher线性分类器，包括训练和测试样本(fisher linear classification)

BP神经网络容易陷于局部极小值，PSO算法在无约束非线性函数优化方面性能优越，通常可以直接找寻到全局最优解，即使不能搜多到全局最优解，也距离全局最优点不远。当然，基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络，先将网络进行PSO算法训练，然后BP算法接着进行小范围精细搜索，PSO算法训练神经网络的本质就是将输出误差函数（即能量函数）看成目标函数，PSO对能量函数进行全局寻找最小值。(BP neural networks are prone to local minimum values. The PS algorithm has superior performance in the optimization of unconstrained nonlinear functions. It can usually find the global optimal solution directly. Even if it can not find more global optimal solutions, it is not far from the global best. Of course, there is also a local extreme of the basic PO algorithm. For this shortcoming, there is no more effective, provincial and municipal solution. This case realizes the use of the SO algorithm and the BP algorithm to train the neural network. First, the network is trained in the SO algorithm, and then the BP algorithm is followed by a small range of fine searches. The essence of the PO algorithm training neural network is to regard the output error function(ie, the energy function) as the objective function, and the PO seeks a global minimum value for the energy function.)

基于MATLAB6.5的二维灰度图像处理源文件，M-file，运用傅里叶变换和傅里叶反变换进行幅度和频率的调整。(Based on two-dimensional gray-scale image processing MATLAB6.5 source files, M-file, the use of anti-Fourier transform and Fourier transform amplitude and frequency adjustments.)

采用模糊C均值对数据集data聚为cluster_n类(Fuzzy C-means data sets of data together for cluster_n category)

说明：  am的Matlab源程序，可以用于系统仿真！！！(am)

OMP算法的MATLAB实现，实验信号为X，为一模拟信号，通过正交匹配跟踪算法来实现信号的重构。(OMP algorithm of MATLAB, and experimental signal for the X, for analog signals, orthogonal matching pursuit algorithm for signal reconstruction.)