griewank

说明：  主要描述了雷达的工作原理及性能，为研究雷达数据处理的朋友提供基础的知识(Describes the principle and performance of radar, radar data processing for the study provide a basis of knowledge friend)

说明：  遗传算法几个好的工具箱，给大家分享，希望互相交流(Several good genetic algorithm toolbox, to share with you the hope that mutual exchanges)

simple code to dufuzzifier in fuzzy logic control

求1000以内的水仙花数(例如：一个数是abc，如果abc=a*a+b*b+c*c,那么abc就是水仙花数)(For less than 1000 of the number of daffodils (for example: a number is ABC, if abc=a*a+b*b+c*c, then ABC is a daffodil number) )

虹膜图像滤波，高斯滤波器，低通滤波器，巴特沃斯滤波器等(Iris image filtering, Gaussian filter, low pass filter, Butterworth filter, etc.)

。本文研究了SC-FDE系统中的最小均方误差判决反馈 均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法， MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟 踪信道变化并更新均衡器的抽头系数，其性能略优于最小 均方误差判决反馈均衡算法。(. In this paper, the SC-FDE system, the minimum mean square error decision feedback Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms MATLAB simulation results show that LMS adaptive equalization algorithm as effective with Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum Mean square error decision feedback equalization algorithm.)

处理带有约束条件的matlab程序，很重要，能用(Dealing with the constraints of the matlab program, it is important, can use)

Compare between OFDM and SC-FDMA

一个效果非常理想的图像颜色变换程序％The goal of this application is to change the colors of a picture, (truecolor or grayscale, *.jpg, *.jpeg), without moving the mouse, looking at them in a slideshow.(One of the effects very good image color conversion process The goal of this application is to change the colors of a picture, (truecolor or grayscale,*. jpg,*. jpeg), without moving the mouse, looking at them in a slideshow.)

实现了1D,2D,3D空间自由度下的运动参数的扩展Kalman滤波算法，文章2008 IROS Visual SLAM for 3D Large-Scale Seabed Acquisition Employing Underwater Vehicles的具体实现。(a novel technique to align partial 3D reconstructions of the seabed acquired by a stereo camera mounted on an autonomous underwater vehicle. Vehicle localization and seabed mapping is performed simultaneously by means of an Extended Kalman Filter. Passive landmarks are detected on the images and characterized considering 2D and 3D features. Landmarks are re-observed while the robot is navigating and data association becomes easier but robust. Once the survey is completed, vehicle trajectory is smoothed by a Rauch-Tung-Striebel filter obtaining an even better alignment of the 3D views and yet a large-scale acquisition of the seabed.)