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LMEDS.m
RANSAC image processing
- 2009-03-04 22:39:07下载
- 积分：1
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tuxiangxiufu
基于稀疏分解的图像信息修复，图片展示了一被“破坏”lina图像，采用此程序可以得到较好修复(Sparse decomposition based on image information restoration, image shows a being " destroyed" lina image, the use of this procedure can get a better fix)
- 2011-01-17 12:28:06下载
- 积分：1
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11111444
简易一级倒立摆MATLAB仿真，做的很完整可以当课设直接使用(MATLAB simulation of a simple pendulum, doing very complete set can be directly used as lesson)
- 2013-11-28 17:08:45下载
- 积分：1
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MATLABsimulation
本文件包括了蒙特卡洛所以常用的模拟方法，是初学者比较好的学习教材~(The document includes the Monte Carlo simulation methods commonly used so it is good learning materials for beginners ~)
- 2010-01-06 09:59:36下载
- 积分：1
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Character-Recognition(Lib-SVM)
支持向量机的研究现已成为机器学习领域中的研究热点，其理论基础是Vapnik[3]等提出的统计学习理论。统计学习理论采用结构风险最小化准则，在最小化样本点误差的同时，缩小模型泛化误差的上界，即最小化模型的结构风险，从而提高了模型的泛化能力，这一优点在小样本学习中更为突出。SVM理论正是在这一基础上发展而来的，经过十几年的研究和发展，已开始逐步应用于一些领域。在解决小样本、非线性及高维模式识别问题中表现出许多特有的优势，已经在模式识别、函数逼近和概率密度估计等方面取得了良好的效果。( Support Vector Machine (SVM) is a new machine learning technique in recent years developed based on statistical learning theory (SLT). It wins popularity due to many attractive features and emphatically performance in the fields of nonlinear and high dimensional pattern recognition. The theory and algorithm of SVC is studied at first, then, simulation is to recognize handwritten numeral with the Lib-SVM toolbox. At last, we study the result, which shows that the SVC can do the classification problem with good performance, shorter operation time and is more suitable for real-time implementation.)
- 2011-05-22 08:57:15下载
- 积分：1
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MN_Logic
说明： 用修正的逻辑法来做航迹起始，比传统的逻辑法更加精确(Track initiation using modified logic method is more accurate than traditional logic method.)
- 2021-04-15 21:48:54下载
- 积分：1
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CODE
用matlab 进行QPSK 的BER 仿真并与理论值比较,计算使用Naive Code [00 01 10 11] 时QPSK的BER，并与Gray Code 比较,求取8PSK 的Gray Code 下的误比特率BER 的解析解(QPSK,BER,Naive Code,Gray Code, 8PSK)
- 2013-01-11 21:54:07下载
- 积分：1
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wavelift
暂时只支持jpeg2000支持的 cdf97 和spline53
可以这样来测试：
x=imread( E:studyjpeg2000imageslena.tif )
％ see the decomposition coefficients
y=wavelift(x, 1, spl53 ) using spline 5/3 wavelet
figure subplot(1,2,1) imshow(x) subplot(1,2,2) imshow(mat2gray(y))
％ see the reconstruction precision
yy=wavelift(x, 5) using cdf 9/7 wavelet
ix=wavelift(yy,-5) inverse
sum(sum((double(x)-ix).^2))
(only temporary support jpeg2000 support cdf97 and spline53 this can be measured Examination : x = imread (E : study jpeg2000 images lena.tif)% see the d ecomposition coefficients wavelift y = (x, 1, spl53) using spline 5/3 wavelet figure subplot (1,2,1) imshow (x) subplot (1,2, 2) imshow (mat2gray (y))% see the reconstructi on precision wavelift yy = (x, 5) using cdf 9/7 wavelet ix = wavelift (yy.-5) inverse sum (sum ((double (x)- ix). ^ 2)
- 2006-08-08 23:51:30下载
- 积分：1
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microwave-paper-by-Qazi-Hamza
micro paper published
- 2012-01-09 04:17:54下载
- 积分：1
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draw
用MATLAB做的绘画程序源码及绘图命令介绍的课件。都有了。挺全适合初学者。(MATLAB do painting and drawing program source code on the order courseware. Met. Ting-wide for beginners.)
- 2007-07-10 14:05:02下载
- 积分：1
