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35738633RECTANGLE
说明: matlab_矩形检测代码 刚刚用过很实用。可以下载看看(matlab_ rectangular test code just used the very practical. You can download to see)
- 2010-04-23 12:45:20下载
- 积分:1
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histgram_equalization
this file is used to enhance the image using histgram eqaution
- 2011-05-08 10:17:20下载
- 积分:1
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Scientific-and-Engineering-CPP
Scientific and Engineering C++. Book for developing applications in C++
- 2014-12-14 23:33:51下载
- 积分:1
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HHT-matlab
HHT变换matlab程序
在matlab下运行即可,可以修改各种参数,采样点数,各种电能质量原始信号均由程序所得,可以信号叠加而来。比如电压跌落,谐波,暂时上升,中断等。
例子给出的是 电压暂降。(HHT transform matlab matlab program can be run in, you can modify various parameters, sampling points, a variety of power quality of the original signal by the program proceeds, may signal superimposed from. Such as voltage drop, harmonics, temporary rise interruption. The example given is voltage sags.)
- 2014-03-29 11:35:57下载
- 积分:1
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MATLAB5.3usermanual
MATLAB5.3精彩编程与高级应用详细的介绍matlab的功能(MATLAB5.3 exciting programming and advanced applications in detail the function of matlab)
- 2008-07-30 10:49:55下载
- 积分:1
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audiowatermark
音频水印程序,应用离散余弦变换,同步信号,分段处理。(Audio Watermarking procedures, using the discrete cosine transform, synchronous signal processing section.)
- 2006-06-21 07:51:16下载
- 积分:1
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poincare(2)
poincare matlab files
- 2010-07-14 05:53:51下载
- 积分:1
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sls
关于稀疏最小二乘算法的matlab程序,适于学习和运用!(Sparse least-squares algorithm on matlab procedures, appropriate for the learning and use!)
- 2008-07-31 19:32:13下载
- 积分:1
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program
program for pam and qpsk for matlab
- 2014-02-11 12:21:26下载
- 积分:1
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bbbb
摘 要:提出一种新的基于Pareto多目标进化免疫算法(PMEIA)。算法在每一代进化群体中选取最优非支配抗体保存到记忆细胞文档中 同时引入Parzen窗估计法计算记忆细胞的熵值,根据熵值对记忆细胞文档进行动更新,使算法向着理想Pareto最优边界搜索。此外,算法基于点在目标空间分况进行克隆选择,有利于得到分布较广的Pareto最优边界,且加快了收敛速度。与已有算法相比, PMEIA在收敛性、多样性,以及解的分布性方面都得到很好的提高。(Abstract:This paperproposed a new pareto-based multi-object evolutionary mi mune algorithm(PMEIA). PMEIA selected
optmi alnon-dominated antibodieswhichwere then reserved inmemory cellarchive, and introducedParzenwindow to calculate
entropy ofmemory cells. Updated thememory cell archive according to entropy ofmemory cells. This guarantees the conver-
gence to the true Pareto fron.t Moreover, the performance of clone selection was dependent on distribution in the objective
space, whichwas favorable forgetting awidely spreadPareto frontand mi proving convergence speed. Comparedwith the exis-
ted algorithms, the obtained solutions ofPMEIA havemuch betterperformance in the convergence, diversity and distribution.)
- 2010-01-09 13:08:12下载
- 积分:1