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Gray-prediction-model-code
灰色预测模型的代码,很简洁，很有用。大家只用打开改一下就可以了(Gray prediction model code, very simple, very useful. We only change it can be used to open a)
- 2013-09-12 19:50:08下载
- 积分：1
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frequencyoffsetestimateofdm
Script for computing the frequency offset from an OFDM short preamble
- 2014-02-16 02:43:39下载
- 积分：1
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sim_PSK_passband
simulates a digital communication system
with QPSK signal waveforms in Fig.7.7
- 2009-12-07 01:41:24下载
- 积分：1
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C_LibrarieReferenceGuide.rar
The C Library Reference Guide
by Eric Huss
© Copyright 1997 Eric Huss
- 2010-12-18 03:47:31下载
- 积分：1
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Modelisation-cellule-solaire
This file describes a dynamic model of a solar cellular using Matlab/Simulink.
- 2013-08-15 07:46:52下载
- 积分：1
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chilun
用matlab画齿轮齿廓的，只要几个参数即可，具体看程序，很简单，一看就懂。(matlab build gear shape)
- 2021-03-17 16:49:21下载
- 积分：1
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LTE_init_load_BLER_curves
init load BLER curves for LTE
- 2015-11-19 21:25:29下载
- 积分：1
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rough-set-codes
这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的胡修改的程序，osu_svm3.00文件夹是使用svm分类器调用的文件，使用该分类器时，代码中间的路径需要修改。另外附上一堆常用的数据集。(This is Hu Qinghua teacher at Tianjin University neighborhood rough set field do the most classic source code, students can learn and modify On this basis, the entry procedures have been written, you need other ways to add your own, MAIN.m entry program is meaning parameters Functions talked in very clear call for the featureselect_FW_fast.m attribute reduction, several clsf_dpd file is to use a different formula to calculate the distance attribute importance, choose properties to get the results, use crossvalidate.m ten fold cross algorithm to calculate the accuracy of the calculation algorithm, the segment code calls several classifiers, C4_5.m is a decision tree, KNN.m is the nearest neighbor classifier, NEC.m is similar to KNN Hu modified program, osu_svm3. 00 folders using svm classifier called file, using the classification code in the middle of the path need to be modified. Also attach a bunch of common data sets.)
- 2021-03-31 15:09:09下载
- 积分：1
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omp4nfft
图像 稀疏分解方法
Random Sampling of Sparse Trigonometric Polynomials II
- Orthogonal Matching Pursuit versus Basis Pursuit -
(Preprint arXiv:math.CA/0604429)
by Stefan Kunis and Holger Rauhut(Image sparse decomposition method Random Sampling of Sparse Trigonometric Polynomials II- Orthogonal Matching Pursuit versus Basis Pursuit- (Preprint arXiv: math.CA/0604429) by Stefan Kunis and Holger Rauhut)
- 2007-08-22 22:59:06下载
- 积分：1
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non-ineq
This is IP optimization method examples with nonequality constraints
- 2009-12-24 21:33:26下载
- 积分：1
