beam-forming

本算法结合小波变换和SVD奇异值变换，实现了水印的嵌入和提取，载体图像的鲁棒性和水印的不可见性，提取出的水印图像的和原水印图像基本一致，抗攻击性强。(The algorithm combines wavelet transform and SVD singular value transformation, achieved watermark embedding and extraction, vector image watermark robustness and invisibility, the extracted watermark image and the original watermark image are basically the same, anti-attack and strong.)

各种算子对车道线边缘识别的对比，其中包括车道线图像，也包含sobel，canny，prewritt算子的差异。(The operator of lane edge recognition)

说明：  简单的音调识别系统，能够识别出钢琴弹奏出的音符/(Simple speech recognition system based on Matlab can get the final result through sample training.)

这个是数学形态学在Matlab中对于数字图像处理的应用的一些指导性的意见。希望大家能喜欢。(This is a mathematical morphology in Matlab for digital image processing of the guiding opinions. Hope that we can like.)

一个关于matlab优化工具箱GOT中的遗传算法函数（GA）和全局优化算法函数（Globalsearch）优化能力的小对比，前者寻优快，但是结果不稳定，在风电场协同有功出力优化上面甚至可能比不过传统的单个风机层面的优化。后者计算量大，耗时较长，但是每次计算结果稳定，较传统单台风机层面优化有少量的提升。Tips:1,本文风场的建模只是采用了PARK模型，实际风场的气动过程应该还要复杂一些，未经实际风场验证，权当是工程优化入门 2,单个风机层面的功率系数Cp参数来源于NREL 5MW模型，跟实际叶片气动性能有关，可靠性未知。3,这种风场级别的协同优化主要考虑尾流因而更加适用于地形较平坦的风电场。《基于风机运行参数协同设定的风电场有功出力优化》是部分由这个程序支撑的，欢迎交流。(The classical operation strategy of a wind farm works with a principle that each wind turbine converting as much aerodynamic power as available the incoming airflow. But this does not guarantee that the power converted by the whole wind farm be a maximum due to the wake effect. Unlike the conventional operation, this paper proposes the collaborative setting of the operation point of each turbine so that the overall production of the wind farm is maximized. The optimization is performed by Matlab Global Optimization Toolbox(GOT) based on a PARK wake model accompany with the area-weighted quadratic sum method. The strategy was proved applicable in many cases by sensitivity analysis. As an important side effect, the proposed method also allows decreasing the added turbulence, hence the mechanical load produced by wakes. As a consequence, the overall wind farm availability is increased. )

数字伺服系统MATLAB仿真，使用simulink做的，PID控制(ACMmodelnps.mdl MATLAB example，PID CONTROL)

说明：  simulation of PI controllers

计算Lyapunov指数的Matlab程序，主要是二维Henon映射的Lyapunov指数的计算 (Matlab Lyapunov index calculation procedures, mainly two-dimensional Henon map of the Lyapunov index calculation)

自适应混沌粒子群算法的matlab程序，有测试函数(Adaptive chaotic particle swarm algorithm matlab procedures, test function)

SHA tests are configured for BYTE oriented implementations for Andriod.