plot_hht

matlab实现车牌识别，具有较好的识别效果 (achieve matlab license plate recognition, with better identification of the effect of)

this is a zip file contain matlab file of uncertainty modeling and identification of a RTAC case study system and in next step control of this system with h2/hinf algorithm.

为了获得更加准确的估计位置,对一种基于数据融合的定位解算算法进行了研究,在将模拟退火算法与经典的泰勒级数展开法和Chan氏算法进行性能比较的基础上,将模拟退火算法与上述两种经典的位置解算算法相结合,通过构造多算法协同定位模型,并基于该模型设计了融合定位算法,对传统定位解算算法进行改进,提出了一种基于数据融合的定位解算算法。仿真结果表明,融合算法的定位精度优于非融合算法且运算量较小(In order to obtain more accurate estimates of the location of a data fusion-based positioning solver algorithm is studied in the simulated annealing algorithm with the classical Taylor series expansion method and Chan' s algorithms performance comparison based on simulated annealing algorithm with the above-mentioned two kinds of classical solution calculate the location of the Combination, by constructing a multi-algorithm co-location model, and model design based on the location of the fusion algorithm, the traditional location solver algorithm is proposed to improve a position based on data fusion solver algorithm. Simulation results show that the positioning accuracy of better than fusion fusion algorithm and the computation of non-small)

PID模糊小车直线控制，用MATLAB编写，运行后绘制小车运动轨迹(PID fuzzy car straight-line control, using MATLAB, and run after drawing the car trajectory)

全搜索 运动估计 多媒体视频压缩 包含motion矢量算法和test文件进行运动估计(Full search motion estimation includes motion vectors of multimedia video compression algorithms and test files motion estimation)

本程序是一平面应力的程序，并可以显示结构变形图(This procedure is a procedure for plane stress, and can display the structure deformation diagram)

完成图像的比例缩放，可以按照需要完成对图像的大小设置 (To complete the image scaling, image size is set in accordance with the need to complete)

基于代价敏感布雷格曼散度的旋转机械轴承故障诊断研究(Rotating Machinery Fault Diagnosis of Bearing cost sensitive Bregman divergence based)

rayleigh maximum likelihood filter with gradient of image used as tuning parameter

说明：  差分进化算法python实现 比较简单啊啊啊啊啊啊(Differential evolution algorithm)