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matlab
基于yule_walker,burg,协方差，改进协方差，最大熵方法这五种算法的matlab程序，并且是一个周期正弦信号与高斯白噪声的模型(Yule_walker, burg, covariance, improved covariance method of maximum entropy algorithm matlab these five programs, and is a periodic sinusoidal signal with Gaussian white noise model)
- 2014-12-14 23:22:46下载
- 积分：1
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mymultisvm
自己编写的svm多分类1对1的程序，如果有错误，请帮忙改正(I have written more than svm classification procedure 1 to 1, if there is an error, please help correct)
- 2013-11-24 11:09:57下载
- 积分：1
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data
概率神经网络的分类预测-基于PNN变压器故障诊断(Classification and Prediction of Probabilistic Neural Networks-Based on PNN Transformer Fault Diagnosis)
- 2019-04-01 10:22:20下载
- 积分：1
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Character E in the MATLAB
说明： 使用matlab二元傅里叶变换全息图，字符“E”的MATLAB模拟计算全息图，字符“E”的MATLAB模拟计算全息图的再现图像(Character "E" in the MATLAB simulation of the reproduced image of the hologram)
- 2020-04-21 10:26:59下载
- 积分：1
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MLDemos-0.1.2-win
gaussian mixture and em algorithm
- 2010-10-28 13:42:53下载
- 积分：1
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JAC-blackman
JAC—blackman 算法历程，通过这个算法可以对正弦信号频率进行精细估计(Quinn algorithm course, you can fine sinusoidal signal frequency estimation by this algorithm)
- 2016-01-08 20:30:53下载
- 积分：1
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matlab6.0manual
说明： 《matlab6.0实用教程》，该书介绍了常用的MATLAB各种指令和功能(err)
- 2008-11-11 16:46:14下载
- 积分：1
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greyentropy
利用熵（entropy）及多變量GM(h.N)模型的觀念，探討灰色理論於權重之分析(use of entropy (entropy) and multivariable GM (h.N) model concepts, Gray explore theories Weight Analysis)
- 2007-06-01 17:11:33下载
- 积分：1
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linear_steering_array
matlab file for beamforming considering four linear array elements
- 2013-03-07 18:35:20下载
- 积分：1
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cos--sin
t - time series
y - value of series at time t
w - cycle length, defined by user based on prior knowledge of time
series
alpha - type I error used for cofidence interval calculations. Usually
set to be 0.05 which corresponds with 95 cofidence intervals(t- time series
y- value of series at time t
w- cycle length, defined by user based on prior knowledge of time
series
alpha- type I error used for cofidence interval calculations. Usually
set to be 0.05 which corresponds with 95 cofidence intervals)
- 2015-01-24 15:27:48下载
- 积分：1
