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tma_ukf
卡尔曼滤波算法和扩展卡尔曼滤波算法在目标跟踪到的应用(Kalman filter and extended Kalman filter algorithm to the application in target tracking)
- 2011-05-21 18:47:08下载
- 积分:1
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rcf_bjc
说明: 北京邮电大学通信原理升余弦滚降系统的源程序(Beijing University of Posts and Communication Theory Cosine system source code)
- 2010-04-22 11:01:44下载
- 积分:1
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meshgrid
meshgrid,gradient和quiver的基本用法,meshgrid,gradient和quiver的基本用法(meshgrid, gradient and the quiver of the basic usage, meshgrid, gradient, and basic use of quiver)
- 2011-05-04 18:45:47下载
- 积分:1
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xiaoxiaokan
matlab开发的一个消消看游戏
规则很简单
鼠标点击不同形状的对象
则界面内相同形状的对象会消去
上方的对象相应往下掉
并随机增添新的对象
根据消去的对象数量得到相应的分类
总共操作次数是10次
比比看,谁的最终得分高!!(A game programme by matlab.)
- 2014-08-13 13:39:24下载
- 积分:1
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mexopencv-master
open cv software implementation is done
- 2014-10-29 13:33:17下载
- 积分:1
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Minimum-Risk-Bayes-classifier
这是模式识别中最小风险Bayes分类器的设计方案。在参考例程的情况下,自行完善了在一定先验概率的条件下,男、女错误率和总错误率的统计,放入各个数组当中。
全部程序由主函数、最大似然估计求取概率密度子函数、最小错误率贝叶斯分类器决策子函数三块组成。
调用最大似然估计求取概率密度子函数时,第一步获取样本数据,存储为矩阵;第二步对矩阵的每一行求和,并除以样本总数N,得到平均值向量;第三步是应用公式(3-43)采用矩阵运算和循环控制语句,求得协方差矩阵;第四步通过协方差矩阵求得方差和相关系数,从而得到概率密度函数。
调用最小风险贝叶斯分类器决策子函数时,根据先验概率,再根据自行给出的5*5的决策表,通过比较概率大小判断一个体重身高二维向量代表的人是男是女,放入决策数组中。
主函数第一步打开“MAIL.TXT”和“FEMALE.TXT”文件,并调用最大似然估计求取概率密度子函数,对分类器进行训练。第二步打开“test2.txt”,调用最小风险贝叶斯分类器决策子函数,然后再将数组中逐一与已知性别的数据比较,就可以得到在一定先验概率条件下,决策表中不同决策的错误率的统计。
(This is a pattern recognition classifier minimum risk Bayes design .In reference to the case of routine , self- improvement in a certain a priori probability conditions, male , female and total error rate error rate statistics , into which each array .
All programs from the main function , maximum likelihood estimation subroutine strike probability density , the minimum error rate Bayesian classifier composed of decision-making three subfunctions .
Strike called maximum likelihood estimate probability density subroutine , the first step to obtain the sample data , stored as a matrix the second step of the matrix, each row sum , and divided by the total number of samples N, be the average vector The third step is the application of the formula ( 3-43 ) using matrix and loop control statements , obtain the covariance matrix fourth step through the variance-covariance matrix and correlation coefficient obtained , resulting in the probability density function .
Bayesian classifier )
- 2012-02-02 20:37:04下载
- 积分:1
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ICA_intro
ICA介绍课件。There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences(ICA Introduction courseware. There has been a wide discussion about the application of Independence Component Analysis (ICA) in Signal Processing, Neural Computation and Finance, first introduced as a novel tool to separate blind sources in a mixed signal. The Basic idea of ICA is to reconstruct from observation sequences the hypothesized independent original sequences)
- 2007-10-10 21:37:52下载
- 积分:1
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EKF_matlab
扩展卡尔曼滤波算法简单例子以及对应的matlab程序和仿真结果(Examples of extended Kalman filter algorithm is simple and the corresponding matlab procedures and simulation results)
- 2020-06-30 11:20:02下载
- 积分:1
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mband
语音增强的多带谱减算法,函数可直接调用,简单易操作(Speech enhancement of the multi band spectral subtraction algorithm, the function can be called directly)
- 2016-02-18 11:42:06下载
- 积分:1
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canny
canny边缘算法的实现,代码比较简单,能实现。(canny edge algorithm, the code is relatively simple to achieve.)
- 2010-11-02 10:30:33下载
- 积分:1