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序列检测法在信号调制方式识别中的应用 被引量:2
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作者 林伟 黄普明 杨新权 《空间电子技术》 2013年第2期85-89,共5页
理论决策法中的固定数据长度方法广泛用于通信信号识别中,文章使用可变长度的序列检测方法来代替它进行调制方式识别。序列检测方法通过设定适当的判决门限在较低信噪比下能达到所需的识别性能。文章仿真表明,在信噪比为4dB时,通过设置... 理论决策法中的固定数据长度方法广泛用于通信信号识别中,文章使用可变长度的序列检测方法来代替它进行调制方式识别。序列检测方法通过设定适当的判决门限在较低信噪比下能达到所需的识别性能。文章仿真表明,在信噪比为4dB时,通过设置合适门限可以使每种调制方式的识别率达到98%左右。与同类的文献[2]对比,文章算法所需要的数据数目更少。 展开更多
关键词 理论决策法 调制识别 序列检测
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统计成本分析与控制
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作者 马元三 《江苏统计》 2000年第10期20-22,共3页
本文通过统计方法中的控制图法、决策理论法,对成本控制中的“例外”进行分析,以达到控制成本的目的。
关键词 统计成本 成本控制 控制图 决策理论
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Multi-factors decision-making entropy method and its application in engineering management 被引量:2
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作者 Qiu Wanhua 《Engineering Sciences》 EI 2010年第4期74-79,共6页
In order to meet the strict requirements for information in engineering management, the positive interval (0, 1 ] in Shannon information entropy is extended to the real number interval [ - 1, 1 ]. The information the... In order to meet the strict requirements for information in engineering management, the positive interval (0, 1 ] in Shannon information entropy is extended to the real number interval [ - 1, 1 ]. The information theory and the decision theory are combined effectively, and the deficiencies that the traditional Bayes decision-making methods only consider a single factor are made up for. The multi-factors engineering decision-making methods are proposed, and some critical problems are solved in the practical engineering management decision-making process. 展开更多
关键词 engineering management decision analysis complex entropy
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Prediction method of rock burst proneness based on rough set and genetic algorithm 被引量:3
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作者 YU Huai-chang LIU Hai-ning +1 位作者 LU Xue-song LIU Han-dong 《Journal of Coal Science & Engineering(China)》 2009年第4期367-373,共7页
A new method based on rough set theory and genetic algorithm was proposedto predict the rock burst proneness. Nine influencing factors were first selected, and then,the decision table was set up. Attributes were reduc... A new method based on rough set theory and genetic algorithm was proposedto predict the rock burst proneness. Nine influencing factors were first selected, and then,the decision table was set up. Attributes were reduced by genetic algorithm. Rough setwas used to extract the simplified decision rules of rock burst proneness. Taking the practical engineering for example, the rock burst proneness was evaluated and predicted bydecision rules. Comparing the prediction results with the actual results, it shows that theproposed method is feasible and effective. 展开更多
关键词 rock burst proneness rough set genetic algorithm RULE
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The Application of Error Analysis in College English Teaching
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作者 LIN Shan-ling 《Sino-US English Teaching》 2012年第5期1124-1131,共8页
Error analysis theory is an important aspect in SLA (second language acquisition) study, which is quite significant for exploring English teaching rules and improving teaching methods. Error analysis theory is also ... Error analysis theory is an important aspect in SLA (second language acquisition) study, which is quite significant for exploring English teaching rules and improving teaching methods. Error analysis theory is also a useful means in English teaching and study. Through analyzing learners' errors, some regular patterns will be discovered. Language learning is a process of making mistakes, correcting them, and enhancing language ability. In order to promote language teaching, teachers should analyze carefully the causes of students' mistakes and take different measures to put them right. This paper will study error analysis and related theory, focus on the causes and the types of the errors in students' writing, and discuss the coping strategy in English teaching 展开更多
关键词 language learning error analysis English teaching
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Binary Decision Diagram Quantitative Analysis Method Based on Fuzzy Set Theory
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作者 于乐 姜梅 +2 位作者 刘征 李彦锋 黄洪钟 《Journal of Shanghai Jiaotong university(Science)》 EI 2016年第4期489-493,共5页
A binary decision diagram(BDD) is a data structure that is used to represent a Boolean function.Converting fault tree into BDD can effectively simplify counting processes and improve the accuracy and effectiveness of ... A binary decision diagram(BDD) is a data structure that is used to represent a Boolean function.Converting fault tree into BDD can effectively simplify counting processes and improve the accuracy and effectiveness of the results. However, due to various types of uncertainties in reliability data, we cannot obtain precise failure probabilities. In order to accurately quantify the certainties and obtain much more reliable results, we use BDD method based on fuzzy set theory for reliability quantitative analysis. In this regard, we take W-axis feeding system of heavy-duty computer numerical control(CNC) machine as a project example and adopt fuzzy BDD quantitative analysis method to analyze its reliability. The analysis results(aided by computer calculation)illustrate the effectiveness of the method proposed in this paper. 展开更多
关键词 binary decision diagram (BDD) quantitative analysis triangular fuzzy number computer numerical control (CNC) machine
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