Results 11 to 20 of about 2,639,032 (289)
Impact of Channel Estimation-and-Artificial Noise Cancellation Imperfection on Artificial Noise-Aided Energy Harvesting Overlay Networks [PDF]
Abstract EHONs (Energy Harvesting Overlay Networks) satisfy stringent design requirements such as high energy-and-spectrum utilization efficiencies. However, due to open access nature of these networks, eavesdroppers can emulate cognitive radios to wire-tap legitimate information, inducing information security to become a great concern.
Khuong Ho-Van, Thiem Do-Dac
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Secure Transmission of Terahertz Signals with Multiple Eavesdroppers
The terahertz (THz) band is expected to become a key technology to meet the ever-increasing traffic demand for future 6G wireless communications, and a lot of efforts have been paid to develop its capacity.
Yuqian He +4 more
doaj +1 more source
Artificial and online acquired noise dictionaries for noise robust ASR [PDF]
sponsorship: The research by Jort F. Gemmeke was carried out in the MIDAS project within the STEVIN programme funded by the Dutch and Flemish Governments. The research of Tuomas Virtanen has been funded by the Academy of Finland. (Dutch and Flemish Governments, Academy of Finland)
Gemmeke, J.F., Virtanen, T.
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Artificial Noise Aided Secure Transmission for Active RIS-Aided NOMA Networks
A secrecy rate maximization problem for active reconfigurable intelligent surface (RIS) aided non-orthogonal multiple access networks has been studied in this paper. Assuming that the perfect channel state information is available, we aim to maximize the
Fengming Yang, Weiran Guo, Jianxin Dai
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Noise Optimization for Artificial Neural Networks
Se ha demostrado que la adición de ruidos a la red neuronal artificial (ANN) puede mejorar la solidez en trabajos anteriores. En este trabajo, proponemos una nueva técnica para calcular la estimación del gradiente estocástico Pathwise con respecto a la desviación estándar del ruido gaussiano añadido a cada neurona de la ANN.
Li Xiao, Zeliang Zhang, Yijie Peng
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Noise-induced artificial intelligence
We show that unavoidable stochastic fluctuations are not only affecting information processing in a destructive or constructive way, but may even induce conditions necessary for the artificial intelligence itself. In this proof-of-principle paper we consider a model of a neuron-astrocyte network under the influence of multiplicative noise and show that
Alex Zhao +5 more
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One hundred years after Luigi Russolo’s “The Art of Noises,” this book exposes a cross-section of the current motivations, activities, thoughts, and reflections of composers, performers, and artists who work with noise in all of its many forms.
Einbond, Aaron, Cassidy, Aaron
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Ergodic Secrecy Rate Analysis and Optimal Power Allocation for Symbiotic Radio Networks
In this paper, we address the challenge of establishing secure communication within a symbiotic radio (SR) network. This network comprises a primary transmitter (PT), a primary receiver (PR), a passive backscatter device (BD), and an eavesdropper (ED ...
Azzam Al-Nahari +4 more
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Corn plants as temporary acoustic barrier to limit the effects of noise pollution
Corn is a cereal imported into Europe from the Americas. It is used for human and animal feed, but there are also industrial uses such as the production of ethanol, of fuel for heating homes, or the production of starch. Corn grows in the summer in areas
Ciaburro G. +2 more
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Two Low-Complexity Efficient Beamformers for an IRS- and UAV-Aided Directional Modulation Network
As excellent tools for aiding communication, an intelligent reflecting surface (IRS) and an unmanned aerial vehicle (UAV) can extend the coverage area, remove the blind area, and achieve a dramatic rate improvement.
Yeqing Lin +8 more
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