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moban
网上找的汽车牌照的车牌字符模板，挺实用的(Find online car license plate character templates, very useful)
- 2010-07-09 22:40:02下载
- 积分：1
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Umat_ViscoElasticPlastic_Material
ABAQUS UMAT code 适用于平面应变，轴对称的黏弹塑性线性应变硬化材料，适用于大变形。(The ABAQUS UMAT code applies to plane strain, axisymmetric viscoelastic plasticity linear strain hardening material, suitable for large deformation.)
- 2013-03-30 03:52:45下载
- 积分：1
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glcm
Calculation of glcm
Energy
Entropy
Homogeneity
Features
Dissimilarity
Categorize
- 2014-02-05 14:23:37下载
- 积分：1
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droopgridsingle
说明： 并网下垂控制仿真，单台并网逆变器，采用下垂控制(Simulation of grid-connected sag control, single grid-connected inverter, using sag control)
- 2020-10-05 20:27:38下载
- 积分：1
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9927432subspace_method_for_blind_channel_estimatio
ofdm的一种盲信道估计方法：子空间盲信道估计方法(ofdm a blind channel estimation methods: the subspace blind channel estimation methods)
- 2010-03-07 08:27:40下载
- 积分：1
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original_PSO
利用基本粒子群优化算法，使用matlab工具，求解Rastrigrin函数。(using particle swarm optimization algorithm, the use of Matlab tool Solving Rastrigrin function.)
- 2006-10-21 15:02:21下载
- 积分：1
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Reed-Solomon-with-QPSK
The TransferJet Tech. uses concatenated channel codeing (Reed-Solomon coding & convolutional coding) scheme. For, Reed-Solomon coding, r=224/240,16 parity bit. For Convolutional coding, K=3, r=1/2.
- 2011-07-17 01:04:09下载
- 积分：1
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MATLBDDS
【matlab编程代做】BPSK调制解调直接序列扩频系统源代码(白噪声及瑞利衰落误码率比较) ([Do] matlab programming generation direct sequence spread spectrum BPSK modulation and demodulation system source code (white noise and Rayleigh fading BER comparison))
- 2015-01-22 20:06:25下载
- 积分：1
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Leslie人口模型
Leslie人口模型matlab实现，预测中长期人口模型(Leslie population model matlab implementation, prediction of medium and long term population model)
- 2018-09-15 22:50:26下载
- 积分：1
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半监督分类算法
说明： 半监督学习(Semi-Supervised Learning，SSL)是模式识别和机器学习领域研究的重点问题，是监督学习与无监督学习相结合的一种学习方法。半监督学习使用大量的未标记数据，以及同时使用标记数据，来进行模式识别工作。当使用半监督学习时，将会要求尽量少的人员来从事工作，同时，又能够带来比较高的准确性，因此，半监督学习目前正越来越受到人们的重视。(Semi-Supervised Learning (SSL) is a key issue in the field of pattern recognition and machine learning. It is a learning method combining supervised learning with unsupervised learning. Semi-supervised learning uses a large number of unlabeled data, as well as labeled data, for pattern recognition. When using semi-supervised learning, it will require as few people as possible to work, and at the same time, it can bring relatively high accuracy. Therefore, semi-supervised learning is receiving more and more attention.)
- 2021-04-12 11:28:57下载
- 积分：1
