Results 21 to 30 of about 2,125,373 (284)
Full-Duplex Femto Base-Station With Antenna Selection: Experimental Validation
IEEE Access, 2019 Full-Duplex (FD) is an emerging technology that allows the communication device to use the same frequency to simultaneously transmit and receive. The cancellation of the high power Self-Interference (SI) is the main challenge in FD systems.
Nidal Zarifeh +3 more
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Nature Electronics, 2022 Reservoir computing offers a powerful neuromorphic computing architecture for spatiotemporal signal processing. To boost the power efficiency of the hardware implementations of reservoir computing systems, analogue devices and components—including ...
Yanan Zhong +11 more
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Mathematics, 2021 Advances in the field of Brain-Computer Interfaces (BCIs) aim, among other applications, to improve the movement capacities of people suffering from the loss of motor skills. The main challenge in this area is to achieve real-time and accurate bio-signal
Tat’y Mwata-Velu +5 more
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Dynamic Phase Demodulation Algorithm for Phase-Sensitive OTDR With Direct Detection
IEEE Access, 2020 A dynamic phase demodulation algorithm for direct detection Φ-OTDR is proposed and experimentally demonstrated. It offers a way for single channel direct detection Φ-OTDR, which is the simplest and most cost-effective structure, to realize ...
Yi Shi +4 more
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IEEE Access, 2023 In the realm of radio frequency identification (RFID) technology, the integration of reconfigurable intelligent surfaces (RISs) has opened up new possibilities for real-time remote data capturing and seamless connectivity.
Mohammed El-Absi +8 more
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NeuroDSP: A package for neural digital signal processing
Journal of Open Source Software, 2019 Populations of neurons exhibit time-varying fluctuations in their aggregate activity. These data are often collected using common magnetoand electrophysiological methods, such as magneto or electroencephalography (M/EEG), intracranial EEG (iEEG) or ...
S. Cole +3 more
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Mathematics, 2021 Motor Imagery Electroencephalogram (MI-EEG) signals are widely used in Brain-Computer Interfaces (BCI). MI-EEG signals of large limbs movements have been explored in recent researches because they deliver relevant classification rates for BCI systems ...
Tat’y Mwata-Velu +4 more
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Digital signal processing for fiber nonlinearities [Invited].
Optics Express, 2017 This paper reviews digital signal processing techniques that compensate, mitigate, and exploit fiber nonlinearities in coherent optical fiber transmission systems.
J. Cartledge +4 more
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Frontiers in Energy Research, 2021 With the rapid development of renewable energy, the scale of China’s power grid with renewable energy has become much bigger than ever; as a result, we are facing severe challenges in the inspection and maintenance work of power grids that use renewable ...
Yao Yao +11 more
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Graph Signal Processing: Overview, Challenges, and Applications [PDF]
Proceedings of the IEEE, 2017 Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper, we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing, along
Antonio Ortega +4 more
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