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Artificial Noise in Adaptive Arrays
IEEE Transactions on Aerospace and Electronic Systems, 1978"Artificial noise," or the connection of feedback paths around the the integrators, is shown to be an effective method of dealing with the problem of multiplier offsets in adaptive antennas. This probl which was analyzed by Compton [1] is particularly troubles when the covariance matrix is singular or nearly so.
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Deep Artificial Noise: Deep Learning-Based Precoding Optimization for Artificial Noise Scheme
IEEE Transactions on Vehicular Technology, 2020In this work, we consider a secure precoding optimization problem for the artificial noise (AN) scheme in multiple-input single-output (MISO) wiretap channels. In previous researches (Lin et al. , 2013), it was proved that the generalized AN scheme which allows some portion of AN signal to be injected to the legitimate receiver's channel is the ...
Sangseok Yun +3 more
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Recognition of Noises and Noise Speech Signals by Artificial Neural Networks
2021 International Conference on Biomedical Innovations and Applications (BIA), 2022Balabanova I., Kostadinova S., Georgiev G., “Recognition of Noises and Noise Speech Signals by Artificial Neural Networks”. IEEE International Conference on Biomedical Innovations and Applications (BIA), 2 - 4 June 2022, Varna, Bulgaria, pp. 119-122, 2022. (IEEE Xplore, Scopus).
Ivelina Balabanova +2 more
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Profiling of Urban Noise Using Artificial Intelligence
Computer Systems Science and Engineering, 2023La contaminación acústica tiende a recibir menos conciencia en comparación con otros tipos de contaminación, sin embargo, afecta en gran medida la calidad de vida de los seres humanos, como causar trastornos del sueño, estrés o discapacidad auditiva. El perfil del sonido urbano a través de la identificación de fuentes de ruido en las ciudades podría ...
Le Quang Thao +3 more
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Noise Suppression by Artificial Neural Networks
Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies, 2017In this research paper, noise suppression ability of associative memories (e.g. Hopfield neural network) is briefly summarized. Motivated by this fact, noise suppression abilities of trained convolutional network are discussed. Introducing the concept of null vectors, noise suppression ability of Single Layer Perceptron, Multi-Layer Perceptron and ...
Garimella Rama Murthy +2 more
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Guaranteeing Secrecy using Artificial Noise
IEEE Transactions on Wireless Communications, 2008The broadcast nature of the wireless medium makes the communication over this medium vulnerable to eavesdropping. This paper considers the problem of secret communication between two nodes, over a fading wireless medium, in the presence of a passive eavesdropper.
Satashu Goel, Rohit Negi
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Noise-attenuation in artificial genetic networks
Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2004Dynamics of gene expressions is quite noisy because of intrinsic noise originated from the smallness of the number of related molecules. Noise-attenuation and system-stabilization in artificial genetic networks are important problems for various applications in engineering and medical areas.
Yoshihiro Morishita, Kazuyuki Aihara
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Secure Spatial Modulation Based on Artificial Noise
2018 IEEE/CIC International Conference on Communications in China (ICCC), 2018A secure spatial modulation based on artificial noise (AN-SM) is proposed. Different from the traditional spatial modulation schemes, the legitimate channel state information is utilized to convey part of information bits instead of amplitude phase modulation (APM) constellation.
Peng Zhang, Shuangshuang Han
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