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waveletthresholddenoising
基于MATLAB的小波阈值去噪方法的研究(其中包括软阈值方法,硬阈值方法,广义小波阈值函数,自适应特征阈值等方法的代码)(MATLAB-based wavelet threshold denoising (including soft-thresholding method, hard threshold method, generalized wavelet thresholding function, adaptive threshold methods such as feature code))
- 2010-07-30 16:08:20下载
- 积分:1
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textures
texture classification matlab code
- 2009-03-14 13:43:46下载
- 积分:1
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fx_deconv
FX反褶积,matlab程序,用于地震资料处理(FX deconvolution, matlab program for seismic data processing
)
- 2011-12-16 18:12:01下载
- 积分:1
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weightpositioncalculation
通过移动机翼,尾翼,起落架和油箱的位置来使气动中心和重心重合。(By movingwings, tail, landing gearand fuel tankpositionto makethe aerodynamic centerand center of gravitycoincide.)
- 2013-12-22 19:00:34下载
- 积分:1
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detection-matlab
eeg detection whether normal or abnormal
- 2011-01-19 00:37:40下载
- 积分:1
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h
说明: 图与网络学习,主要是与MATLAB结合的方法(Figure and learning, the main method of combining with MATLAB)
- 2010-04-27 14:38:35下载
- 积分:1
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MATLAB-to-XPlane9
this program is a sample program for connecting MATLAB with Xplane9 using UDP comunication.
- 2012-03-27 11:19:39下载
- 积分:1
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DFIG_Machine_Example
this is example of dfig machine
- 2015-01-23 22:18:33下载
- 积分:1
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2014
2014 Continuous Learning of Human Activity Models - imp(2014 Continuous Learning of Human Activity Models- imp)
- 2015-03-15 19:10:40下载
- 积分:1
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遗传算法程序
说明: 遗传算法是计算数学中用于解决最佳化的搜索算法,是进化算法的一种。进化算法最初是借鉴了进化生物学中的一些现象而发展起来的,这些现象包括遗传、突变、自然选择以及杂交等。遗传算法通常实现方式为一种计算机模拟。对于一个最优化问题,一定数量的候选解(称为个体)的抽象表示(称为染色体)的种群向更好的解进化。传统上,解用二进制表示(即0和1的串),但也可以用其他表示方法。进化从完全随机个体的种群开始,之后一代一代发生。在每一代中,整个种群的适应度被评价,从当前种群中随机地选择多个个体(基于它们的适应度),通过自然选择和突变产生新的生命种群,该种群在算法的下一次迭代中成为当前种群。(Genetic algorithm (GA) is a search algorithm used to solve optimization in computational mathematics. It is one of evolutionary algorithms.
Evolutionary algorithms were originally developed by borrowing phenomena in evolutionary biology, such as heredity, mutation, natural selection and hybridization.
Genetic algorithms are usually implemented as a computer simulation.
For an optimization problem, an abstract representation of a certain number of candidate solutions (called individuals) (called chromosomes) evolves towards a better solution.
Traditionally, solutions are represented in binary (that is, strings of zeros and ones), but other representations are possible.
Evolution begins with a population of completely random individuals, and it happens from generation to generation.)
- 2020-06-07 21:42:11下载
- 积分:1