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06389766
Estimation of Tool Pose Based on Force–Density
Correlation During Robotic Drilling
- 2013-07-09 10:15:14下载
- 积分：1
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kalman
一个卡尔曼滤波程序 利用Matlab实现 本人亲自试验可行(Kalman Filtering with Matlab implementation process)
- 2011-05-28 11:45:33下载
- 积分：1
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resShortScanFan
该程序可以进行扇形的短扫描重建，利用Parker加权函数。得到不错的重建效果。希望对大家有帮助。仅供参考！(This programme is a short-fan reconstruction.On the use of Parker weight function.I hope it will be useful.And the result of this programme is good.)
- 2014-01-18 15:16:34下载
- 积分：1
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IMM
1.IMM.m
主要功能：
（1）IMM算法的实现；
（2）画出目标轨迹与利用IMM算法跟踪目标的轨迹；
（3）画出位置误差与速度误差；
（4）画出模型混合概率图。
2.Target_track.m
主要功能：
实现目标轨迹的产生。
3.Model_mix.m
主要功能：
实现IMM算法下，各模型的估计融合。
4.Kalman.m
主要功能：
实现模型的条件滤波，以及似然函数的输出。(1.IMM.m main functions: (1) IMM algorithm implementation (2) Draw the locus and utilization of IMM target tracking algorithm goals (3) shows the position error and speed error Mixed (4) Draw model probability plots. 2.Target_track.m main functions: to produce the target locus. 3.Model_mix.m main functions: IMM algorithm, it is estimated each model integration. 4.Kalman.m main functions: the model filter condition, and it seems natural function of the output.)
- 2020-07-02 07:40:02下载
- 积分：1
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matlab-chapter6
谢汉龙matlab书籍第六章基本入门功能的实现过程，常用matlab的基础程序(Implementation Xiehan Long matlab books Chapter VI basic entry function on the basis of common procedures matlab)
- 2015-01-05 13:55:44下载
- 积分：1
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fs_sup_relieff
Relief算法中特征和类别的相关性是基于特征对近距离样本的区分能力。算法从训练集D中选择一个样本R，然后从和R同类的样本中寻找最近邻样本H，称为Near Hit，从和R不同类的样本中寻找最近样本M，称为Near Miss，根据以下规则更新每个特征的权重：
如果R和Near Hit在某个特征上的距离小于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻是有益的，则增加该特征的权重；反之，如果R和Near Hit在某个特征上的距离大于R和Near Miss上的距离，则说明该特征对区分同类和不同类的最近邻起负面作用，则降低该特征的权重。(The correlation between feature and category in Relief algorithm is based on distinguishing ability of feature to close sample. The algorithm selects a sample R from the training set D, and then searches for the nearest neighbor sample H from the samples of the same R, called Near Hit, and searches for the nearest sample M from the sample of the R dissimilar, called the Near Miss, and updates the weight of each feature according to the following rules:
If the distance between R and Near Hit on a certain feature is less than the distance between R and Near Miss, it shows that the feature is beneficial to the nearest neighbor of the same kind and dissimilar, and increases the weight of the feature; conversely, if the distance between R and Near Hit is greater than the distance on R and Near Miss, the feature is the same. The negative effect of nearest neighbor between class and different kind reduces the weight of the feature.)
- 2018-04-17 14:41:55下载
- 积分：1
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MATLAB7.0
matlab从入门到精通，十分经典，人民邮电出版社，求是科技编写(matlab from entry to master, very classic, Posts & Telecom Press, seeking science and technology writing)
- 2011-06-26 00:17:49下载
- 积分：1
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pbf
this the function written in matalb to addned the white gaussian noise removal
- 2011-08-06 20:27:42下载
- 积分：1
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MATLAB
针对一组数据的分类方法，在matlab中实现，从中可以观察到数据之间的联系(For a set of data classification method, implemented in matlab can be observed from the data to the link between)
- 2013-04-22 22:11:03下载
- 积分：1
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io
i/o控制对于i/o的灯作为硬件控制，关于对引脚的具体控制(the describe of i/o control)
- 2013-12-19 11:18:10下载
- 积分：1
