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对原始图像在水平方向和垂直方向与2个滤波器(低通、高通)相卷积，可以得到4块面积为原图像1/4的子图，分别为水平方向低频和垂直方向低频(HH)、水平方向低频和垂直方向高频(HG)、水平方向高频和垂直方向低频(GH)、水平方向高频和垂直方向高频(GG)。(The original image in the horizontal direction and vertical direction and two filters (low pass, high pass) with convolution, you can get the original image area of 4 1/4 graph, respectively, horizontal and vertical direction low frequency ( HH), horizontal and vertical high-frequency low-frequency (HG), horizontal and vertical high-frequency low-frequency (GH), horizontal and vertical high-frequency high-frequency (GG).)

YALMIP优化方法基于MATLAB的优化软件包，m文件(YALMIP A OPTIMIZATION TOOLBOX BASED ON MATLAB)

Voltiac System model with voltage Control

层次分析法模型，matlab语言编写，实现因子的选择(Analytic hierarchy process (ahp) model)

潮流计算牛拉法和PQ分解法有详细解析，电力系统的基本潮流都有解析，纯手工(Flow Calculation cattle Rafah and PQ decomposition method has a detailed analysis)

generate LFM pulse waveform

MIT归一化算法，为了克服MIT自适应律的缺陷需要对其做些修正，使得自适应增益与输入信号幅值无关(MIT normalization algorithm, MIT adaptive law in order to overcome its shortcomings need to do to fix such adaptive gain is independent of the input signal amplitude)

对于利用MATLAB标定工具箱得出相机标定参数后，此函数可利用标定得出的结果，对图像进行畸变矫正，输出矫正好的图像。(Calibration Toolbox for use MATLAB camera calibration parameters obtained, this function can be calibrated using the results obtained, the image distortion correction, output correction a good image.)

二进制和十进制互相转换，比自带的更加方便(Each binary and decimal conversion, more convenient than the native)

Rosenbrock函数优化属于无约束函数优化问题，其全局极小值位于一条平滑而狭长的抛物线形状的山谷底部，且为优化算法提供的信息很少，因此找到其全局极小值就显得很困难。根据Rosenbrock函数的这种特性，专门提出了一种改进的PSO算法，该算法引入三角函数因子，利用三角函数具有的周期振荡性，使每个粒子获得较强的振荡性，扩大每个粒子的搜索空间，引导粒子向全局极小值附近靠近，避免算法过早地收敛，陷入局部最优，从而找到Rosenbrock函数的全局极小值。大量实验结果表明，该算法具有很好的优化性能，为某些领域某些特定的类似于Rosenbrock函数的优化问题提供了一种新的思路。(Rosenbrock function optimization functions are unconstrained optimization problems, its global minimum value at a smooth parabolic shape and narrow mountain valley Department, and for the optimization algorithm provides little information, and therefore find its global minimum value becomes very difficult. According to this feature Rosenbrock function, specifically mentioning Out an improved PSO algorithm (PSO-R), the algorithm introduced trigonometric factor, using trigonometric has periodic oscillations, so that each particle to obtain more Strong oscillations of expanding the search space of each particle, the particle is close to nearby guide global minimum, avoiding premature convergence algorithm, into a local optimum, thus Finding the global minimum Rosenbrock function. Experimental results show that the algorithm has a good optimizing performance, similar to some certain areas Rosenbrock function in the optimization problem provides a new way of thinking.)