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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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Brake Noise Detection Using Artificial Intelligence
EuroBrake 2021 Technical Programme, 2021Research and/or Engineering Questions/Objective: The availability of big sets of data coming from brake durability tests paves the way for making predictions and decisions related to the noise coming from brakes. In this paper, the workflow for detecting brake squeal and all its main characteristics is presented. Methodology: Initially, a uniform set
Fabio Squadrani +5 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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Secret communication using artificial noise
VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005., 2006The problem of secret communication between two nodes over a wireless link is considered, where a passive eaves- dropper may overhear the communication. It is desired that the eavesdropper be unable to decode the message. We show that secrecy can be achieved by adding artificially generated noise to the information bearing signal such that it does not ...
R. Negi, S. Goel
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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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Measuring noise level reduction using an artificial noise source
The Journal of the Acoustical Society of America, 2015Residences near airports may be subjected to significant noise levels. The impact of aircraft traffic noise imposes a higher level of design consideration for the outdoor-to-indoor transmission of sound for residences. Noise Level Reduction (NLR) is a common metric used to quantify the ability for a building element to reduce the transmission of ...
Rene Robert +3 more
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Eavesdropping against artificial noise: Hyperplane clustering
2013 IEEE Third International Conference on Information Science and Technology (ICIST), 2013Wireless secure communication using artificial noise can guarantee security when the transmitter has more antennas than the eavesdropper. Contrarily, this paper considers the problem of eavesdropping when sufficient antennas were equipped. First, we prove that the receiving scrambling signals are distributed within parallel hyperplanes.
Lu Liu, Jin Liang, Kaizhi Huang
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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 ...
G. Rama Murthy +2 more
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