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MATLAB--Endpoint-Detection-
介绍了端点检测的基本方法:基于短时能量的、基于短时过零率的、双门限检测的方法(Describes the basic method of endpoint detection: Based on short-term energy, zero crossing rate based on short-term, double threshold detection method)
- 2011-05-09 11:16:08下载
- 积分:1
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1
说明: Matlab的双馈异步风力发电机风电场仿真(MATLAB feng li fa dian ji fangzhen)
- 2014-08-16 18:22:42下载
- 积分:1
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image-match
image match using in engineering and get information from object
- 2013-12-29 13:38:23下载
- 积分:1
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New-folder-(2)
full car suspension model (8 degree of freedom) in simulink matlab
- 2014-02-03 20:56:39下载
- 积分:1
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feature-extraction
产生调制信号后,提取调制信号的特征参数的matlab算法。(Generate a modulated signal, the extraction of characteristic parameters of the modulation signal matlab algorithm.)
- 2013-05-12 14:37:28下载
- 积分:1
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ELM DE
Differential Evolution optimized ELM with good introduction slides.
- 2010-12-16 13:31:31下载
- 积分:1
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YTY_GA_Final
To find the largest fitness value and its location
寻找最大适应性及相应的位置!Population N=50;crossover bits=n/2 (half of bits of an individual) with random locations,mutation bits = 4 种群数 N=50,交换位数= n/2, 即个体位数的一半,且位置随机;
变异位数统一取为4;
Nc=20,28,36,44,individuals for crossover(交换的个数)。Nm=1,5,10,15, individuals for mutation(变异的个数)。(To find the largest fitness value and its location to find the location of the maximum adaptability and the corresponding! Population N = 50 crossover bits = n/2 (half of bits of an individual) with random locations, mutation bits = 4 population size N = 50, exchange digits = n/2, ie half of the median individual, and random position variation is taken as unity median 4 Nc = 20,28,36,44, individuals for crossover (exchange number). Nm = 1,5,10,15, individuals for mutation (the number of variations.))
- 2010-12-27 21:23:27下载
- 积分:1
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STATCOM-HysteresisCurrentControl-Technique
This is the matlab simulation of STATCOM using Hystersis control Technique
- 2011-12-16 03:16:16下载
- 积分:1
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无模糊
FDA-MIMO雷达距离角度联合无模糊估计的MATLAB仿真(MATLAB simulation of joint unambiguous estimation of range and angle for FDA-MIMO radar)
- 2021-01-24 20:08:40下载
- 积分:1
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ENFCM
文章MR Brain Image Segmentation Using an Enhanced Fuzzy C-Means Algorithm的代码实现(the code of MR Brain Image Segmentation Using an Enhanced Fuzzy (:-Means Algorithm)
- 2020-12-01 10:29:27下载
- 积分:1