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LMS
自适应消噪源码，利用LMS算法和matlab仿真工具去除随机噪声(Adaptive noise source, using LMS algorithm and simulation tools to remove the random noise matlab)
- 2010-07-22 15:33:10下载
- 积分：1
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matlabBNT
说明： 贝叶斯建网程序，对于初学者有一定的帮助作用，希望能帮上大家的忙(NATALAB BAYES)
- 2010-04-12 22:47:39下载
- 积分：1
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tuxiangquzao-matlab
matlab图像去噪经典算法实现 00000000000000000000000(classical image denoising algorithm matlab 00000000000000000000000)
- 2011-04-19 15:32:54下载
- 积分：1
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14700126pso
apso针对配电网重构，matlab程序(apso for Distribution Network Reconfiguration, matlab program)
- 2012-06-19 14:33:35下载
- 积分：1
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Scurve
S-curve simulation in matlab
- 2013-12-06 07:59:47下载
- 积分：1
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TX
说明： 卫星信道中的调制识别的matlab仿真分析，很不错的(Satellite channels in the modulation recognition of matlab simulation analysis, it is good)
- 2008-12-23 16:14:01下载
- 积分：1
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DISTRA
说明： matlab代码功能实现图像的距离变化，已经通过调试成功！(matlab code image of the distance function changes have been adopted successfully debug!)
- 2008-09-17 17:10:16下载
- 积分：1
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mjiaqiang1
下面是我编的一个软硬阈值去噪的matlab程序 下面是我编的一个软硬阈值去噪的matlab程序：thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data(thr=sigma*(2*lgN)1/2/lg(j+1) 用[x,xn]=wnoise(2,10,6) 产生噪声测试数据-The following is Part I of a of hard and soft threshold denoising matlab procedure is the following hardware and software, I made a threshold denoising matlab program: thr = sigma* (2* lgN) 1/2/lg (j+1) by [x, xn] = wnoise (2,10,6) noise test data)
- 2012-05-20 23:01:46下载
- 积分：1
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psplotmaxconstr
plot function maximum and minimum matlab
- 2013-04-09 16:24:07下载
- 积分：1
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BPneural network
说明： BP神经网络算法，BP(back propagation)神经网络是一种按照误差逆向传播算法训练的多层前馈神经网络，是应用最广泛的神经网络。(BP (back propagation) neural network is a kind of multilayer feedforward neural network which is trained according to the error back propagation algorithm. It is the most widely used neural network.)
- 2020-05-05 17:22:30下载
- 积分：1
