资源列表
Matlab
- 针对经典Dijkstra算法时间复杂度问题，提出双向Dijkstra搜索算法解决智能交通路径规划问题，并通过仿真实验验证了算法的可行性和有效性(英文版资料)-Typical shortest path is Dijkstra algorithm, its time complexity is O (n 2 ). A map of the city’s road network has many nodes, if we use the Dijkstra algorithm, the time
Matlab
- 为了提高四足机器人在复杂环境下的适应性,重点研究了采用飞行时间(TOF)原理相机的四足机器人环境感知策略并改进了地形识别及路径规划算法.首先采用高斯过程回归(GPR)模型对TOF相机的距离数据进行误差校正,解决了采用传统多项式或三角函数模型进行误差修正时模型阶次过高及函数组合复杂的问题.基于得到的环境深度信息,采用数字高程模型(DEM)进行地形描述,并通过计算各栅格的坡度、粗糙度、起伏度对地形进行识别.粗糙度由该栅格所处的坡度平面与其8邻域高程点的离散程度进行计算,避免了采用高程方差计算时对粗糙
svpwm-for-PMSM
- 永磁同步电机SVPWM源程序matlab模型压缩包-matlab model for SVPWM
DMC_Four_Five
- 在风洞流场中，马赫数在0.4-0.5之间时，动态矩阵控制器的设计-In the wind tunnel flow field, is between 0.4-0.5, design Mach dynamic matrix controller
DMC_Five_Six
- 在风洞流场中，马赫数在0.5-0.6之间时，动态矩阵控制器的设计-In the wind tunnel flow field, is between 0.5-0.6, design Mach dynamic matrix controller
DMC_Six_Seven
- 在风洞流场中，马赫数在0.6-0.7之间时，动态矩阵控制器的设计-In the wind tunnel flow field, is between 0.6-0.7, design Mach dynamic matrix controller
cabac_enco
- MATLAB CABAC ENCODER
DMC_Seven_Eight
- 在风洞流场中，马赫数在0.7-0.8之间时，动态矩阵控制器的设计-In the wind tunnel flow field, is between 0.7-0.8, design Mach dynamic matrix controller
DMC_Greater_Eight
- 在风洞流场中，马赫数大于0.8时，动态矩阵控制器的设计-In the wind tunnel flow field, Mach number is greater than 0.8, the design dynamic matrix controller
entropy
- Video comparasion entropy calculations
normalization
- Video compress Normalization codes
fgainsch
- this code for fgainsch method. it is very good.