Image-registration

介绍平台惯性导航系统的画图程序，给出导航系统进行平台导航后的估计导航信息包括位置、速度、姿态信息并以图表的形式给出。(Introduce a kind of inertial navigation system:platform inertial navigation system.Its outputs includes positions, velocitys and attitudes of the carrier.)

标准粒子群优化算法1,采用MATLAB编写,本算法简单,易于实现,可调参数少,是非线性连续优化问题、组合优化问题(The standard particle swarm optimization algorithm 1,)

easy code taking picture from web cam and showing the countours - use the logarithm filter

使用Matlab的M文件实现的SVPWM程序，包含调制区和过调制区两个过程，文件包含主程序和子程序，经过测试可行。(Using Matlab M-file to achieve SVPWM program consists of two processes modulation region and over-modulation region file contains the main program and subroutines, tested feasible.)

使用Matlab编写的GUI程序，可以通过滑动条调整图片对比度，方便新手学习(Written using Matlab GUI program, you can adjust the picture contrast slider to facilitate novice learning)

反向传播神经网络的学习算法以及MATLAB实现代码(Back propagation neural network learning algorithm and MATLAB code)

元胞自动机的大部分程序，包括元胞自动机生成sierpinski直角垫片 ，在六边形的元胞自动机上模拟单粒子运动,算法是基于FHP规则.以及元胞自动机模拟地球卫星的云图 ，元胞以固定的概率向相邻的4个元胞扩散 zz问题，元胞自动机模拟地球卫星的云图 ，以及生命游戏，机器人等程序(Cellular automata most programs, including cellular automata generate sierpinski Cartesian pads, analog single particle motion in the hexagonal cellular automata, FHP is based on rules. Well as cellular automata simulation Earth satellite imagery , cellular fixed probability to four adjacent cellular proliferation zz problems, cellular automata simulation Earth satellite imagery, as well as Game of Life, robots and other procedures)

计算目标和海洋回波的功率谱密度,LCMV优化设计阵列处理信号，可以得到很精确的幅值、频率、相位估计。( Calculating a target and ocean echo power spectral density, LCMV optimization design array signal processing, You can get a very accurate amplitude, frequency, phase estimation.)

说明：  利用头脑风暴算法，求解cec——2017 benchmark，是史玉回老师的源代码进行的修改(brain storm algorithm)

摘　要:针对茄子图像的灰度和颜色特点,利用MATLAB中丰富的图像处理函数,分别进行了色差分割和色调分割。在 色调分割中,采用了自动选取阈值的Otsu法。在去除残留噪音的处理中,采用标注的方法对二值图像的各连通区域进行面积 统计。保留最大面积的区域,从而使分割效果大大改善。利用多参数来衡量分割效果,使评价做到最大程度的客观、合理。(Based on the gray- level and color characteristics of eggp lant image, hue and color- difference segmentation were conducted by using the rich image p rocessing functions embedded inMATLAB. The auto threshold- adap tivemethod ofOtsu operation was specially used for hue segmentation. And upon the elimination of the residue noise, labelingmethod for statistical calculation was introduced for the connected regions of the binary image. Themaximum areaswere p reserved to imp rove segmentation effects. In addi2 tion, multi- indiceswere app lied to assess the effect of segmentation, in order to get impersonal and reasonable assessment)