MARKOV_CHAIN

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Applicability of Markov chain-based stochastic model for bubbling fluidized beds
《Journal of Southeast University(English Edition)》2015年第2期249-253,共5页庄亚明 陈晓平 刘道银 
The National Science Foundation of China(No.51276036,51306035);the Fundamental Research Funds for the Central Universities(No.KYLX_0114)
A Markov chain-based stochastic model （MCM） is developed to simulate the movement of particles in a 2D bubbling fluidized bed （BFB）. The state spaces are determined by the discretized physical cells of the bed, an...
关键词：stochastic model Markov chain discrete elementmethod （DEM） bubbling fluidized bed （BFB） 
QoS-based MAC protocol for cognitive radio networks被引量：2
《Journal of Southeast University(English Edition)》2012年第4期375-379,共5页胡静 沈连丰 宋铁成 
The National Science and Technology Major Project( No. 2010ZX03006-002-01 );the National Basic Research Program of China ( 973 Program) ( No. 2011CB302905);the Science and Technology Support Program of Jiangsu Province ( No. BE2011177)
In order to improve the throughput performance of the secondary users （SUs） in the cognitive radio （CR） environment, a quality of service （QoS） based media access control （MAC） protocol is proposed. In this pr...
关键词：quality of service （QoS） cognitive radio media access control （MAC） channel map Markov chain 
Discrete-time Markov-based dynamic control approach for compressed sampling被引量：1
《Journal of Southeast University(English Edition)》2012年第3期287-291,共5页安春燕 纪红 李屹 张晓亮 
Innovation Funds for Outstanding Graduate Students in School of Information and Communication Engineering in BUPT;the National Natural Science Foundation of China(No.61001115, 61271182)
To solve the problem that the signal sparsity level is time-varying and not known as a priori in most cases,a signal sparsity level prediction and optimal sampling rate determination scheme is proposed.The discrete-ti...
关键词：compressed sampling signal sparsity level prediction discrete-time Markov chain 
Modular solution of dynamic multiple-phased systems被引量：3
《Journal of Southeast University(English Edition)》2009年第3期316-319,共4页莫毓昌 杨全胜 
The National Natural Science Foundation of China(No.60903011);the Natural Science Foundation of Jiangsu Province(No.BK2009267)
A new modular solution to the state explosion problem caused by the Markov-based modular solution of dynamic multiple-phased systems is proposed. First, the solution makes full use of the static parts of dynamic multi...
关键词：binary decision diagram （BDD） dynamic fault tree Markov chain modular solution 
Modulation classification of MPSK signals based on nonparametric Bayesian inference
《Journal of Southeast University(English Edition)》2009年第2期171-174,共4页陈亮 程汉文 吴乐南 
Cultivation Fund of the Key Scientific and Technical Innovation Project of Ministry of Education of China(No.3104001014)
A nonparametric Bayesian method is presented to classify the MPSK （M-ary phase shift keying） signals. The MPSK signals with unknown signal noise ratios （SNRs） are modeled as a Gaussian mixture model with unknown m...
关键词：modulation classification M-ary phase shift keying Dirichlet process nonparametric Bayesian inference Monte Carlo Markov chain 
Auto-selection order of Markov chain for background sequences with chi-square test
《Journal of Southeast University(English Edition)》2003年第4期311-316,共6页谢雪英 孙啸 陆祖宏 
TheNationalHighTechnologyResearchandDevelopmentProgram ( 863Program) ( 2 0 0 2AA2 3 10 71)andtheNaturalScienceFoundationofJiangsuProvince (BK2 0 0 2 0 5 7)
Modeling non coding background sequences appropriately is important for the detection of regulatory elements from DNA sequences. Based on the chi square statistic test, some explanations about why to choose higher ...
关键词：non  coding sequences regulatory elements chi  square test Markov chain 
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