资源列表
Susan_filter
- 自己编写的一个Susan滤波算法，滤波效果很好，值得推荐-I have written a Susan filtering algorithm, the filtering effect is very good, worth recommending
TSP
- 用于遗传算法的TSP算法，应用时可根据具体去哪里做适当修改-Genetic Algorithm for TSP algorithm, according to the specific application can make the appropriate changes where
DUOHANSHU
- 多种群遗传算法的函数优化算法，非常实用，使用时可根据具体情况修改-Multi-population genetic algorithm function optimization algorithm is very practical, use can be modified according to the specific circumstances
LS_SVMlab
- 最小二乘支持向量机，已经亲自使用，程序可用，包含程序，数据和说明书-Least squares support vector machine, I have personally used, the procedure can be used, including procedures, data and instructions
CAKF
- 容积卡尔曼滤波算法，可运行，与卡尔曼滤波算法比较，效果更好。-Volume Kalman filter algorithm can be run, compared with the Kalman filter algorithm, the better.
Douglas-Peuker
- Douglas一Peukcer算法由D.Douglas和T.Peueker于1973年提出，简称D一P算法，是目前公认的线状要素化简经典算法。现有的线化简算法中，有相当一部分都是在该算法基础上进行改进产生的。它的优点是具有平移和旋转不变性，给定曲线与阂值后，抽样结果一定。 算法的基本思路是:对每一条曲线的首末点虚连一条直线,求所有点与直线的距离,并找出最大距离值dmax ,用dmax与限差D相比:若dmax < D ,这条曲线上的中间点全部舍去 若dmax ≥D ,保留dmax 对应的
filter.dr
- 【无人驾驶传感器之64线激光雷达】 velodyne hdl64es2 64线激光雷达点云数据处理之角分割与滤波方法-[64 line laser radar sensor of the unmanned] angle velodyne hdl64es2 64 lines LIDAR point cloud data processing method of segmentation and filtering
GPS-cycle-slip-processing
- GPS L1,L2双拼周跳探测与修复，包含几种常用的实时探测算法，附有GUI界面-A MATLAB software package for GPS cycle-slip processing is presented in this paper. It realizes cycle-slip detection and repair in the measurement domain for GPS L1 and L2 signals. The software implement
attitude-determinati-
- 多GPS天线姿态确定程序，包括文件读取、单点定位、双差定位、坐标转换以及姿态确定等。-a MATLAB toolbox for determining the attitude of a rigid platform by means of multiple non-dedicated antennas using global positioning system is presented. The programs embedded in this toolbox cover t
ksvd_src
- k-svd算法的实现，采用c++语言实现的一个基于K-svd算法的图像消噪程序-k-svd with c++ written for image de-noising
betweenness_bin
- 应用于复杂网络分析时采用matlab代码的节点介数-Node betweenness complex network analysis
NN_train
- Error Back-Propagation Algorithm for MLP Neural Networks