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math
这是数学专业的数学建模的课程设计，很有用啊，希望大家踊跃下载啊(This is the mathematical modeling mathematics curriculum design, very useful, ah, ah hope you actively download)
- 2011-05-03 16:44:18下载
- 积分：1
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spider20060724
机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等(Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidden Markov model), random trees (random forest), etc.)
- 2013-11-02 21:13:57下载
- 积分：1
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tienan_v41
基于欧几里得距离的聚类分析，本科毕设要求参见标准测试模型，计算十字叉丝的在不同距离的衍射图像。( Clustering analysis based on Euclidean distance, Undergraduate complete set requirements refer to the standard test models, Calculation crosshairs diffraction image at different distances.)
- 2016-12-29 00:37:55下载
- 积分：1
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EAX
edge Assembly Crossover
- 2010-11-12 16:38:29下载
- 积分：1
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outdoornewton
This code uses newton interation to calculte user s position in outdoor case.
- 2011-07-21 00:09:08下载
- 积分：1
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数据同化 enkf
数据同化，集合卡尔曼滤波算法全部程序,包括主程序，计算增益矩阵K(Ensemble kalman filter for data assimilation)
- 2015-08-03 14:08:17下载
- 积分：1
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VQSHUZIYY
说明： 很好的MATLAB开发源程序
基于VQ矢量量化的语音识别程序(MATLAB to develop a very good source of vector quantization VQ-based speech recognition procedures)
- 2008-11-10 19:24:37下载
- 积分：1
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model1500
Simulink model of a 1.5 MW wind turbine with direct-driven permanent magnet generator
- 2011-07-30 14:50:17下载
- 积分：1
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02_OFDM_Simulation_Using_Matlab
根据 DVB-T 欧洲标准写的一个OFDM matlab 仿真，其中包括发射器和接收器。文章中有matlab程式的详细介绍，有仿真方框图，还有每步的实验结果分析，特别适合OFDM的初学者。算是OFDM比较简单的一个入门介绍。英文也比较浅显，可读性很强(According to the European DVB-T standard to write a OFDM matlab simulation, which comprises a transmitter and a receiver. Article has a matlab program in detail, there is a block diagram of the simulation, as well as analysis of the experimental results of each step, especially for OFDM for beginners. OFDM considered a relatively simple introduction to. English is also relatively simple, readable)
- 2013-09-30 22:59:18下载
- 积分：1
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ref-for-base-paper
The most ofICI avoidance algorithms divide UEs into
cell edge and cell centre users based on static thresholds
such as path loss, SINR and geometry factors. However, in
an actual communication environment, the UE distribution
as well as the shape of a cell can be changed. Therefore
selection of the cell edge bands is difficult and needs to be
optimized according to the time variation environment.
Reference [6] proposed an ICI avoidance algorithm that can
change cell edge bands dynamically. For each active UE and
every time gap (the update duration of CEU/CCU), the
threshold is updated based on SINR in order to keep the
ratio of number of CEUs and CCUs constant. Then, cell
weight is calculated to follow the instant changing of
network.
- 2014-10-21 12:42:32下载
- 积分：1
