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matlab-math
主要介绍 matlab微分方程解法 里面的例子较多(mathematical modelling in matlab)
- 2010-01-06 22:37:06下载
- 积分：1
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simulinkchaoticsystem
采用simulink对duffing和lorenz混沌系统进行仿真,然后又对lorenz混沌系统的进行延时反馈控制和同步控制,另外还有一个基于simulink的滑模控制,实现方便,效果不错!(Duffing using simulink for lorenz chaotic systems and simulation, and then lorenz chaotic systems on the conduct of delayed feedback control and synchronization control, there is another of the sliding mode control based on simulink to realize the convenience, good results!)
- 2021-03-30 14:39:09下载
- 积分：1
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Viterbidecoder
用VITEBI算法对信道输出解码。这个算法既能用于卷积码的软判决解码，也能用于硬判决解码(failed to translate)
- 2010-01-16 17:02:48下载
- 积分：1
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BRAND5
说明： MATLAB程序（附图像），对图像商标文字的分割。(MATLAB (AP like), the trademark image segmentation words.)
- 2006-04-02 22:10:22下载
- 积分：1
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5
说明： 采用一种离散微分跟踪器的PID控制。被控对象是三阶传递函数，参考输入rin=20，干扰信号是0.5rands（1）。(PID Controller with Partial differential)
- 2011-04-03 22:15:16下载
- 积分：1
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OFDM-Simulation-Using-Matlab
OFDM Simulation Using Matlab
- 2011-05-12 16:16:24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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monte-carlo-algorithm
蒙特卡洛算法
mento carlo algorithm(mento carlo algorithm)
- 2012-11-16 18:16:03下载
- 积分：1
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MissingFormatWidthException
Missing Format Width Exception extends Illegal Format Exception.
- 2014-02-19 10:53:09下载
- 积分：1
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MATLAB6_5
matlab6.5的教程（作者：张志涌）
挺有用的(matlab6.5 the tutorial (Author: Zhang Chung) quite used)
- 2009-03-23 19:49:09下载
- 积分：1
