jiaotongxinhaodeng

matlab edge preserving filter

机动目标跟踪，GaussAitken滤波器 简谐运动物体，加性高斯噪声 Matlab程序(Maneuvering target tracking, GaussAitken filter Simple harmonic motion of objects, plus Gaussian noise Matlab program)

it is single phase cycloconverter used in many ways to control the frequency or rather would say reduce the frequency to control the speed of motor but here iam using only resistive load because my teacher only give me this project. To use simulink please change the solver type to ode23tb

说明：  从小数据量计算最大李氏指数的一种实用方法。(data from the largest Lyapunov exponent is calculated as a practical method.)

psat的一个最简单的潮流计算模型。通过该模型可以对psat的简单应用有一个认识。(psat s one of the most simple flow calculation model.)

说明：  流形学习非线性降维的经典算法Isomap(isomap algorithm with the data and the paper in 2000)

savonius model simulink

针对高精度的畸变图像,提出了一种基于最小二乘影像匹配的高精度畸变图像矫正算 法. 算法首先利用特征提取与边缘检测对图像进行预处理,并且将特征匹配与最小二乘算法相 结合,从而实现了图像与模板之间精确的子像素定位与匹配. 实验表明,该算法较好的解决了目前高精度畸变图像矫正算法中普遍存在的定位和匹配精度较差的缺陷,图像矫正效果良好,是一种有效的畸变图像矫正算法.(Image distortion for high-precision, a least-squares image matching based on high-precision image distortion correction algorithm. First of all, the use of feature extraction algorithm for edge detection and image pre-processing, and will feature matching with a combination of least-squares algorithm in order to achieve the image and the template between the sub-pixel accurate positioning and matching. The experimental results show that the algorithm has better accuracy of the solution to the current distortion prevalent image correction algorithm to match the accuracy of the positioning and less defects, image correction effect well, is an effective algorithm to correct image distortion.)

make ccs project by matlab

Minhashing和LSH算法。用于查找和比较一个pair是否是相似的。并分析false negative和false positive的值(Minhashing and Locality-Sensitive-Hashing (LSH). The algorithms are approximate in that they find only candidate pairs that are likely similar. Therefore, there are two types of error. A false positive (FP) is a candidate pair that is not actually similar according to the given similarity threshold. A false negative (FN) is a similar pair that is not a candidate pair. In this project, we will implement the Minhashing and LSH algorithms, apply them on data sets, and draw observations about when these algorithms perform. )