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CLAHE
CLAHE: contrast limited adaptive histogram equalization is one of the most famous algorithm in image enhancement
- 2021-04-14 15:38:55下载
- 积分:1
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POWER2
Optimal Power Flow algorithm
- 2014-09-10 22:25:49下载
- 积分:1
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MATLAB
Stephen J.Chapman 著 邢树军等译 国外高校电子信息类优秀教材,与大家分享下!尤其适合初学者.
(Stephen J.Chapman )
- 2012-10-13 10:54:40下载
- 积分:1
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bilidaoyinfa
比例导引法的几个matlab程序,根据绝对弹道进行编程设计(Proportional navigation law matlab program, according to the absolute ballistic Programming)
- 2013-05-18 15:16:35下载
- 积分:1
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38613152GSOS
说明: 该算法可以实现基本的萤火虫求解,还有其他萤火虫集合,以及和其他算法的融合(The algorithm can realize basic firefly solution, other firefly sets and fusion with other algorithms)
- 2020-05-19 18:27:51下载
- 积分:1
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lundunFUN
混沌模糊算法函数,调用此函数可以解决许多初学者的疑惑(Chaotic fuzzy arithmetic functions, calling this function can solve many doubts beginners)
- 2013-07-16 10:23:09下载
- 积分:1
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matlab_simulink
应用matlab_simulink搭建模块进行电路仿真,欢迎大家学习!!(matlab_simulink)
- 2010-05-23 20:12:02下载
- 积分:1
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Employee_management_system
Employee management system project for students.
- 2014-09-29 14:08:54下载
- 积分:1
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graythresh
本文提出的中值滤波的快速算法的基本思想是:原始数据序列上中值滤波的滑窗在移动过程中,当前窗只要删除其最早的元素,加入窗后的新元素,即成为下一窗的内容。这个只是Matlab里封装的算法代码(In this paper, the median filtering of the fast algorithm for the basic idea is: the original data sequence in the sliding window filtering process in the mobile, the current window as long as the deletion of its first element, adding a new element after the window, that is, the next window content.)
- 2009-05-26 11:58:59下载
- 积分:1
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Body-Area-Networks
一个身体部位比较模型的新方法网络(BAN)的,可以容纳多个环节和多个科目。所述的绝对测量允许跨频谱可能刻画的比较 从单参数为整个合奏,通过基于参数化到每个活动,每个学科和每个环节模型。使用错误,并明确之间权衡复杂性,在一个善良的适应措施相结合,显示有重要的影响时,适用于一系列典型的禁止通道数据。它是有不同的
在模式的选择的影响,以及它相关的复杂性,混合活动的“日常”的数据,设置活动相比,动态数据(例如步行)。平均路径损耗的不足,甚至位数的路径损失的措施,作为唯一的表征还强调“禁止通道。
(A new approach to compare models for body area
networks (BAN) that accommodates multiple links and multiple
subjects is presented. The absolute measure described allows
comparison across a spectrum of possible characterizations
ranging from single-parameter for an entire ensemble, through
to per-activity, per-subject and per-link based parameterized
models. The use of an explicit trade-off between error and
complexity, combined in a goodness-of-fit measure, is shown
to have important consequences when applied to a range of
typical BAN channel data. It is shown that there are different
implications in choice of model, and it’s associated complexity, for
mixed-activity “everyday” data, when compared with set-activity
dynamic data (e.g. walking). The deficiency of mean path loss,
or even median path loss measures, as a sole characterization of
the BAN channel is also highlighted.)
- 2011-12-01 21:21:32下载
- 积分:1