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ami
平均互信息函数法：平均互信息函数法的基本思想是：选取互信息函数第一次达到局部极小值时的时间作为最佳延迟时间。(AMI Average mutual information function)
- 2021-01-05 15:38:54下载
- 积分：1
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SIFT
运用sift特征点提取算法提取特征点，用matlab实现图像拼接。(Feature extraction algorithm using sift feature point extraction, using matlab image mosaic.)
- 2014-01-14 17:33:20下载
- 积分：1
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dxnb
单项逆变simulink仿真模型，成功测试。(Single inverter simulink simulation model, and successfully tested.)
- 2012-11-21 15:07:06下载
- 积分：1
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image1
图像低级处理,非常有用，主要用于matlab的低级图像处理。(low-level image processing program)
- 2011-04-26 05:30:26下载
- 积分：1
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juxingxinhao2
产生周期矩形信号的matlab源程序，希望对大家有帮助(Produce periodic rectangular signal matlab source, we want to help)
- 2012-10-19 01:19:34下载
- 积分：1
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DMPSO
动态多群粒子群算法，能够快速的搜寻目标，增强了局部搜索能力(Dynamic multi-swarm particle swarm algorithm can quickly search target, and enhance the local search ability)
- 2015-09-16 16:59:15下载
- 积分：1
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MatlabXXZS
Matlab详细手册希望大家互相学西 共同进步(Matlab detailed handbook hope everyone learn the common progress of the West)
- 2006-11-12 21:26:21下载
- 积分：1
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SP_UCI
The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.
- 2013-03-19 01:30:35下载
- 积分：1
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zixianguan2
基于单项耦合映像格子的时空混沌伪随机序列，自相关函数画图(Single coupled map lattice spatiotemporal chaos-based pseudo-random sequence, the autocorrelation function of drawing)
- 2012-11-23 19:49:35下载
- 积分：1
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RLS
基于RLS算法的数据预测与MATLAB实现——
递归最小二乘（RLS)算法是一种典型的数据处理方法，递归最小二乘（RLS)算法在信号自适应滤波分析中广泛应用，递归最小二乘（RLS)算法收敛速度快，且对自相关矩阵特征值的分散性不敏感，然而其计算量较大。(RLS algorithm based on forecast data and MATLAB realization Recursive Least Squares (RLS) algorithm is a typical method of data processing, recursive least squares (RLS) algorithm is widely used in signal analysis, adaptive filtering, recursive least squares (RLS) algorithm converges fast, and dispersion of autocorrelation matrix eigenvalue insensitive, but its large amount of calculation)
- 2016-05-16 15:16:56下载
- 积分：1
