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huff
huffman codeing in matlab gui
- 2013-01-01 14:55:53下载
- 积分:1
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jieguo1
matlab,导入txt程序,文件大小大于1g(matlab, Import txt program, file size is greater than 1g)
- 2012-06-27 16:26:41下载
- 积分:1
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2012年全国大学生数学建模竞赛题目--葡萄酒的评价Wines-Evaluation
2012年全国大学生数学建模竞赛题目--葡萄酒的评价。文件中包含葡萄酒成分数据(Excel文件)、各种数据统计处理的MATLAB函数(已封装好,直接调用),包括:数据预处理、灰色预测、灰色关联度、基于熵权法的模糊综合评价、主成分分析、系统聚类、多元线性回归等程序。(Wines Evaluation from the title of 2012 National Undergraduate Mathematical ModelingContest. The file includes many MATLAB codes about statistical analysis of data.For example: Principal component analysis Grey Relational Analysis Fuzzy Comprehensive Evaluation Based on Entropy Method System Clustering Grey Prediction Multiple linear regression and so on. We can call them directly.)
- 2021-03-17 23:49:20下载
- 积分:1
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Jizuzuhe
基于matlab的在电力系统中的机组组合问题的解决,该程序简单,易懂。(Based on matlab in power system unit commitment problems, the program is simple, easy to understand.)
- 2011-10-24 16:23:44下载
- 积分:1
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munteng_v27
利用自然梯度算法,采用的是通用的平面波展开法,可以得到很精确的幅值、频率、相位估计。( Use of natural gradient algorithm, Using common plane wave expansion method, You can get a very accurate amplitude, frequency, phase estimation.)
- 2017-01-10 15:51:26下载
- 积分:1
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boxcount
一個MATLAB範例,可以用來計算分形盒維度(Examples of a MATLAB can be used to calculate the fractal box dimension)
- 2008-01-05 23:54:17下载
- 积分:1
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mmse
解相关及最小均方误差和传统多用户检测器的比较(Decorrelating and MMSE and traditional multi-user detector comparison)
- 2009-05-24 16:14:09下载
- 积分:1
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QRSdetect
说明: qrs的检测算法,利用matlab实现,检出率高
(qrs detect)
- 2010-03-16 15:40:10下载
- 积分:1
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svc-svg
电力系统中无功补偿 SVC-SVG模型 可以观察无功补偿器对电能质量的维持的有利作用(Power System Reactive Power Compensation SVC-SVG model, you can observe the reactive power compensation of power quality maintenance of beneficial effects)
- 2013-08-22 22:34:49下载
- 积分:1
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LS
说明: the linear ARX model as shown below [12] is used to represent the input and the output data for the system. This ARX model is utilized for both Least Square (LS) and Recursive Least Square (RLS) algorithms. It is one of the simplest statistical methods for system identification used to find the transfer function for the model. The equations given by [15]:
Y=φβ+ξ (7)
β=〖(φ^T φ)〗^(-1) φ^T Y (8)
where Y is the predicted output. φ is includes actual input and output parameters. β is includes parameters to be estimated.
- 2014-08-22 14:28:51下载
- 积分:1