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smallworld
这是经典的复杂网络的小世界模型和均匀网络模型,你可以画出度分布图。(this is a cassic complex network of small-world model aniform model, distribution of degrees can be drawn.)
- 2009-07-09 11:06:32下载
- 积分:1
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1-d~music
一维线形阵元的music算法DOA估计,参数为3个信号源,8阵元接收(one-dimensional linear array of music DOA estimation algorithm and parameters for the three signal sources, eight receiving element)
- 2006-06-17 03:27:23下载
- 积分:1
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rosust
Robust controller design
- 2011-11-22 14:03:58下载
- 积分:1
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guihua
说明: 这是用MATLAB编写的规划问题的程序,用的着的请参考。(This is prepared by using MATLAB programming procedures, please use the reference.)
- 2009-07-23 17:12:58下载
- 积分:1
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xuesheng
说明: 此程序是用矩阵的方法解决一些常见问题,比如说学生成绩排序筛选等问题,希望对一些人有用。(This program is a matrix methods to solve some common problems, such as student achievement to sort filter and so on, want to be useful for some people.)
- 2010-03-20 15:10:25下载
- 积分:1
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DigitalCommunicationUsingMatlab
Simulation of Digital Communication Systems Using Matlab
- 2014-09-30 16:30:57下载
- 积分:1
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_auto_contrast_
Image auto contract matlab
- 2011-12-21 19:05:07下载
- 积分:1
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hsmm
说明: 隐马尔科夫模型是关于时序的概率模型,描述由一个隐藏的马尔科夫链随机生成不可观测的状态随机序列,再由各个状态生成一个观测而产生观测序列的过程。隐藏的马尔科夫链随机生成的状态的序列,称为状态序列;每个状态生成一个观测,而由此产生的观测的随机序列,称为观测序列。马尔科夫链由初始概率分布、状态转移概率分布以及观测概率分布确定(The hidden Markov model is a probabilistic model for time series. It describes the process of randomly generating unobservable state random sequences from a hidden Markov chain, and then generating an observation by each state to produce an observation sequence. A sequence of randomly generated states of hidden Markov chains, called a sequence of states; each state produces an observation, and the resulting random sequence of observations is called an observation sequence. Markov chain is determined by initial probability distribution, state transition probability distribution and observation probability distribution)
- 2019-05-27 12:01:38下载
- 积分:1
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nco
parametered dds, nco by matlab
- 2010-07-09 11:18:50下载
- 积分:1
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machine_asynchrone_mli3
SOME SIMULINK MOTEUR ASYNCHRONE MLI3 BY BOUZIANE ISLMAIL
- 2009-05-21 18:21:34下载
- 积分:1