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4MatLab-new
关于matlab的方法及实例，有效，全面，是数学建模的好帮手(about matlab)
- 2010-07-22 20:20:08下载
- 积分：1
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RLS
实现RLS的matlab程序，是递归最小二乘法的推广和运用
- 2021-04-24 15:08:47下载
- 积分：1
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chebyshevLyapunov
chebyshev映射lyapunov指数分布图(chebyshev map lyapunov)
- 2021-03-12 11:19:25下载
- 积分：1
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Fuzzy-Control-of-PUMA-Robot
MATLAB/SIMULINK Based
Fuzzy Control of PUMA Robot
- 2014-12-12 04:01:51下载
- 积分：1
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INVerter-Control121017
此文档是我做APF时参考过的无数文章中最有价值的文档之一，写的很深刻，也很结合实际。(This document is one document that I do APF reference to numerous articles in the most valuable, written in a very profound and very actual.)
- 2015-04-05 18:51:13下载
- 积分：1
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matlab_DIP
< 数字图像处理》作者－姚敏中所有matlab源程序()
- 2007-07-10 18:33:21下载
- 积分：1
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SimulatingtheSUIChannelModels
Simulating the SUI Channel Models
- 2007-12-27 10:28:32下载
- 积分：1
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MCS51
MCS51单片机软件实验，实验中包含了相关程序结果(MCS51 Microcontroller Software The experimental procedures included the results)
- 2010-05-15 10:14:37下载
- 积分：1
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my16QAM
16QAM-matlab simulation(16QAM- Matlab simulation)
- 2007-05-04 17:14:42下载
- 积分：1
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normal-estimation-for-3D
三维点云法向量估计综述由于获取方便、表示简单、灵活等优势，点云逐渐成为常用的三维模型表示方法之一。法向量作为点云必不可少的属性
之一，其估计方法在点云处理中具有重要的位置。另一方面，由于点云获取过程中不可避免的噪声、误差和遮挡，点云中通常含
有噪声、外点和空洞，并且部分采样模型如CAD模型，也会存在尖锐特征，这些都给法向量估计提出了挑战。对当前已有的点云
法向量估计算法进行综述，分析其原理及关键技术，着重分析它们在处理噪声、外点和尖锐特征等方面的能力并给出比较，最后
为未来研究提供了一些建议(The three-dimensional point cloud normal vector estimation summarized obtain convenient, represents a simple, flexible, and becoming one of the methods commonly used three-dimensional model represents the point cloud. Normal vector of one of the as point clouds essential attributes, its estimation method has important position in the point cloud processing. On the other hand, the noise is inevitable in the process to obtain because of the point cloud, error and occlusion, point cloud typically contains noise outside point and empty, and part of the sampling model such as CAD models, there will still be sharp features, which gave the normal vector estimated that presents a challenge. Overview of current existing point cloud normal vector estimation algorithm, analysis of the principle and key technologies, and analyzed their ability to deal with the noise, the outer points and sharp features and gives comparison, and finally provide some suggestions for future research)
- 2013-03-03 15:48:46下载
- 积分：1
