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Cyclostationary Feature Detection Based Spectrum Sensing Algorithm under Complicated Electromagnetic Environment in Cognitive Radio Networks 被引量:18
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作者 Yang Mingchuan Li Yuan +1 位作者 Liu Xiaofeng Tang Wenyan 《China Communications》 SCIE CSCD 2015年第9期35-44,共10页
This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get sp... This paper focuses on improving the detection performance of spectrum sensing in cognitive radio(CR) networks under complicated electromagnetic environment. Some existing fast spectrum sensing algorithms cannot get specific features of the licensed users'(LUs') signal, thus they cannot be applied in this situation without knowing the power of noise. On the other hand some algorithms that yield specific features are too complicated. In this paper, an algorithm based on the cyclostationary feature detection and theory of Hilbert transformation is proposed. Comparing with the conventional cyclostationary feature detection algorithm, this approach is more flexible i.e. it can flexibly change the computational complexity according to current electromagnetic environment by changing its sampling times and the step size of cyclic frequency. Results of simulation indicate that this approach can flexibly detect the feature of received signal and provide satisfactory detection performance compared to existing approaches in low Signal-to-noise Ratio(SNR) situations. 展开更多
关键词 cognitive radio cyclostationary feature detection Hilbert transformation
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Module Diagnostic-Training System An Innovative Solution for Diagnosis and Assessment of Cognitive Processes
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作者 Magdalena Zubanska 《Journal of Philosophy Study》 2016年第3期162-168,共7页
The development of cognitive competences for police officers and other officers of the uniformed services is crucial The Police Academy in Szczytno (Poland) developed--as part of a research and development project ... The development of cognitive competences for police officers and other officers of the uniformed services is crucial The Police Academy in Szczytno (Poland) developed--as part of a research and development project (2013-2015)---an innovative diagnostic system for training that allows automated assessment of the current fitness level of cognitive functions and their online training. The system consists of three interconnected modules: diagnostic module, training module, and knowledge base. It is a fully functional online platform. Various forms of cognitive training in the form of games have been proposed. The system includes a component in the form of a psychophysiological recorder, which is intended for the training of coping with stress. The innovativeness of this diagnostic training system involves the use of information systems to stimulate the cognitive competence of officers by designing exercises in the form of computer games and to permit to verify their current mental shapes. It is assumed that this solution will develop the personal skills of officers and positively affect their operational readiness. Extending the area of application of this diagnostic training module by other functionalities can contribute to improving the effectiveness and safety of work, especially in occupational groups performing tasks requiring special cognitive and psychomotor predispositions. 展开更多
关键词 cognitive features psycho-stimulator DIAGNOSIS TRAINING uniformed services
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