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Crowd-evacuation
对大型商场的人流疏散过程进行模拟，分析研究人流疏散中的人流运行特性(Evacuation of large shopping malls flow simulation, analysis of the flow characteristics of the evacuation of the crowd running )
- 2020-12-29 15:19:01下载
- 积分：1
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stanford_convex_optimization_book
国外的经典的有关于凸优化数学方面的教材，值得研究有关优化方面的研究者学习(Classic abroad on convex optimization mathematics textbooks, it is worth to study the optimization of the researchers studying)
- 2010-06-12 13:35:08下载
- 积分：1
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iq_measures
image quality measures
- 2010-08-11 17:18:02下载
- 积分：1
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LDPCCondEncode
系统地阐述了低密度校验码基于图模型的编译码思想，介绍了密度进化理论，对影响低密度校验码纠错性能的两个主要因素——度序列设计和围长设计进行了深入分析，详细介绍并设计了LDPC的编解码(Systematic exposition of the LDPC graph model based codecs idea, introduces the density evolution theory, the two main factors that affect the performance of LDPC error correction- the degree of sequence design and girth design depth analysis, detailed and designed LDPC codec)
- 2014-11-23 08:27:27下载
- 积分：1
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Sim
电机控制系统，02年开始积累，效果好，速度快，PI控制，经典控制，fuzzy PID，自适应控制，速度位置控制等等，欢迎大家参考。(Servo motor control system, in 2002 began to accumulate, effective, fast, PI control, classical control, fuzzy PID, adaptive control, speed position control, etc., we welcome the reference.)
- 2013-12-11 14:18:26下载
- 积分：1
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2modulesPppt
A dynamic estimation of channel is necessary before the transmission of the signals since the wireless channel is time–varying..we use MMSE method for channel estimation. The MMSE method calculates the following, MMSE channel estimator is designed to minimize the estimation MSE. The MMSE estimate the channel responses.
- 2013-11-13 18:24:50下载
- 积分：1
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Piecewise-linear-interpolation
使用分段线性插值算法对数据进行内插，有效的避免了高次插值时产生的龙格现象。(Using piecewise linear interpolation of data interpolation algorithm, effectively avoids the high order interpolation when the runge phenomenon.)
- 2013-05-07 20:31:30下载
- 积分：1
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PAPER5
doppler spread estimation for wireless ofdm systems
- 2015-02-01 12:20:38下载
- 积分：1
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rprod02
是用于建模方面的,很有用,所上传的5个程序文件要协同工作才行(Is used for modeling, very useful, 5 program files uploaded to work for the job)
- 2014-01-06 20:22:17下载
- 积分：1
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Artificial-Intelligence-pneumonia
利用朴实贝叶斯方法求解有关肺炎的问题。肺炎对应有四个特征：发烧、疼痛、咳嗽和血细胞异常，当确定了患肺炎与否时，四个特征条件独立。假设患肺炎与否和四个特征都可表示为Ture和False。
根据pneumonia.tex文件中的数据（500行，每行前4个数对应4个特征变量，第5个数对应患肺炎是否为真，以0表示False，1表示Ture），编写Matlab 程序 maininference.m，从example.txt中读取病人的症状信息（0表示False，1表示True，-1表示not given），并计算对应的患肺炎的可能性。所给的信息按发烧、疼痛、咳嗽、血细胞异常的顺序排列。将计算结果保存在answer.txt中。(Simple Bayesian method to solve the question of pneumonia. Pneumonia corresponding four characteristics: fever, pain, cough and blood cell abnormalities, determine the risk of pneumonia or not, the four characteristics of conditional independence. Assumptions suffering from pneumonia or not and four features can be represented as Ture and False. According to the data pneumonia.tex file (500 lines, each line of the first four numbers corresponding to the four characteristic variables, number 5 corresponds to the risk of pneumonia is true, 0 represents False, said Ture), to write Matlab program maininference. m from example.txt read the information of the patient' s symptoms (0 = False, said True, the-1 indicates not given), and to calculate corresponding to the likelihood of suffering from pneumonia. The information given by the order of fever, pain, cough, blood cell abnormalities. The calculated results is be saved in answer.txt.)
- 2013-01-04 23:27:12下载
- 积分：1
