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cnet
(eccv10)Features Image Matching[matlab]源代码((eccv10)Features Image Matching[matlab])
- 2013-11-06 14:21:19下载
- 积分:1
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HUONG
说明: simulation ldpc by matlab
- 2020-06-26 18:20:02下载
- 积分:1
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matlabengine
VC++环境下调用MATLAB程序实现数字信号处理的方法(VC environment MATLAB program called digital signal processing methods)
- 2008-05-26 20:39:13下载
- 积分:1
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MATLAB
说明: Matlab 学习 和帮助 冈萨雷斯
(Matlab study and help)
- 2011-04-14 12:36:29下载
- 积分:1
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GNSS data Pretreatment
Preprocessing procedure in GNSS data processing
- 2020-10-24 09:07:21下载
- 积分:1
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som
SOM Algorithm in Data Mining
- 2010-09-19 17:28:15下载
- 积分:1
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Adaptive-vibration-controlwith-tracking-filters
针对频率周期振荡的振动系统讨论自适应控制问题,在频率跟踪的基础上对频率变化的振动响应进行控
制,给出相应的估计、滤波与控制方法。首先在子空间辨识原理的基础上,通过测量信号自相关序列的递推运算获得信号
频率 然后根据估计频率实时调整带通滤波器的中心频率,使其跟踪信号频率,实现信号分量的跟踪滤波 最后在LMS方
法的基础上构造对信号分量进行控制的自适应控制器。(The adaptive vibration control of systems excited by forces of periodically varying frequencieswas dis-
cussed. The presented adaptive controlwas realized on the basis of tracking of time-varying frequencies and amethod for
online frequency estimation, filtering and controlwas proposed. Based on the principle of subspace identification, the
time-varying frequencieswere estimated from the recursively computed autocorrelation ofmeasured signals.
)
- 2011-01-11 22:07:26下载
- 积分:1
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Kalman-Target
实现机动目标的跟踪与预测matlab代码。希望对大家有用。(Maneuvering target tracking and prediction matlab code. I hope useful.)
- 2014-09-23 10:34:37下载
- 积分:1
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parzen
说明: Parzen窗拟合标准正态分布(Matlab实现)(Parzen window fitting the standard normal distribution (Matlab implementation))
- 2010-04-29 19:41:47下载
- 积分:1
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matlab实现 边缘预测
说明: 边缘预测提出了一种基于预测的、有一定自适应性的边缘检测方法。介绍了其原理和算法实现过程。通过计算两个相邻像素的灰度值的均值、均方差和梯度来预测下一个像素的灰度值,比较预测值和真实值来判断下一个像素是否是边界点。通过与现有同类算法的比较,证明了该算法的优越性(A predictive and adaptive edge detection method is proposed. The principle and implementation process of the algorithm are introduced. The gray value of the next pixel is predicted by calculating the mean, mean square deviation and gradient of the gray value of the two adjacent pixels. The prediction value and the real value are compared to determine whether the next pixel is a boundary point. The superiority of this algorithm is proved by comparing with the existing similar algorithms.)
- 2020-06-18 02:20:02下载
- 积分:1