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Control of microwave signals using bichromatic electromechanically induced transparency in multimode circuit electromechanical systems
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作者 江成 崔元顺 +2 位作者 边心田 李晓薇 陈贵宾 《Chinese Physics B》 SCIE EI CAS CSCD 2016年第5期198-204,共7页
We theoretically investigate the tunable delay and advancement of microwave signals based on bichromatic electromechanically induced transparency in a three-mode circuit electromechanical system, where two nanomechani... We theoretically investigate the tunable delay and advancement of microwave signals based on bichromatic electromechanically induced transparency in a three-mode circuit electromechanical system, where two nanomechanical resonators with closely spaced frequencies are independently coupled to a common microwave cavity. In the presence of a strong microwave pump field, we obtain two transparency windows accompanied by steep phase dispersion in the transmitted microwave probe field. The width of the transparency window and the group delay of the probe field can be controlled effectively by the power of the pump field. It is shown that the maximum group delay of 0.12 ms and the advancement of0.27 ms can be obtained in the current experiments. 展开更多
关键词 delay and advancement of microwave signals bichromatic electromechanically induced transparency three-mode circuit electromechanical system
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Acknowledgments
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《The Journal of Biomedical Research》 CAS CSCD 2018年第1期I0007-I0007,共1页
Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms d... Epilepsy is the most common neurological disorder of the brain that affects people worldwide at any age from newborn to adult. It is characterized by recurrent seizures, which are brief episodes of signs or symptoms due to abnormal excessive or synchronous neuronal activity in the brain. The electroencephalogram, or EEG, is a physiological method to measure and record the electrical 展开更多
关键词 EEG The Journal of Biomedical Research plans to publish a special issue on Advances in EEG signal Processing and Machine Learning for Epileptic Seizure Detection and Prediction
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