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  • Search: subject:"detection threshold"
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Year of publication
Subject
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Economic cycle 2 Euro area IPI 2 Turning point detection Threshold model 2 Big Data 1 Cognition 1 Detection Threshold 1 Energieeinsparung 1 Energy conservation 1 HF Sky-Wave Radar 1 Kognition 1 Range-Gate 1 Target Detection 1 Theorie 1 Theory 1 cognitive radio 1 convex optimisation 1 detection threshold 1 energy efficiency 1 sensing threshold 1
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Online availability
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Free 2 Undetermined 1
Type of publication
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Article 2 Book / Working Paper 2
Type of publication (narrower categories)
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Article in journal 1 Aufsatz in Zeitschrift 1
Language
All
English 3 Undetermined 1
Author
All
Ferrara, Laurent 2 Guegan, Dominique 2 Fan, Junmei 1 Geng, Senlin 1 Guo, Lixin 1 Lei, Qianzhao 1 Moorthy, Yamuna K. 1 Pillai, Sakuntala S. 1 Wu, Zhensen 1
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Institution
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HAL 2
Published in...
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Post-Print / HAL 2 International Journal of Information Technology and Web Engineering (IJITWE) 1 International journal of innovation and sustainable development : IJISD 1
Source
All
RePEc 2 ECONIS (ZBW) 1 Other ZBW resources 1
Showing 1 - 4 of 4
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Optimal sensing duration for interweave cognitive radios based on energy efficiency
Moorthy, Yamuna K.; Pillai, Sakuntala S. - In: International journal of innovation and sustainable … 12 (2018) 3, pp. 350-359
Persistent link: https://www.econbiz.de/10012000839
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The Big Data Processing of HF Sky-Wave Radar Sea Echo for Detection of Sea Moving Targets
Lei, Qianzhao; Wu, Zhensen; Guo, Lixin; Fan, Junmei; … - In: International Journal of Information Technology and Web … 12 (2017) 4, pp. 56-71
A high-frequency (HF) sky-wave radar always monitoring large area of sea surface, for detecting sea surface moving objects, there must be big data waiting to be processed. A set of data processing methods were proposed, the successful implementation of HF sky-wave radar on the sea moving target...
Persistent link: https://www.econbiz.de/10012046108
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Real-time detection of the business cycle using SETAR models
Ferrara, Laurent; Guegan, Dominique - HAL - 2006
We consider a threshold time series model in order to take into account some stylized facts of the business cycle such as asymmetries in the phases. Our aim is to point out some thresholds under (over) which a signal of turning point could be given. First, we introduce the various threshold...
Persistent link: https://www.econbiz.de/10010750606
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Detection of the Industrial Business Cycle using SETAR models
Guegan, Dominique; Ferrara, Laurent - HAL - 2005
We consider a threshold time series model in order to take into account some stylized facts of the industrial business cycle such as asymmetries in the phase of the cycle. Our aim is to point out some thresholds under (over) which a signal of turning point could be given. First, we introduce the...
Persistent link: https://www.econbiz.de/10008793306
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