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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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Identification of Tones with Noises by Artificial Intelligence
2020 28th National Conference with International Participation (TELECOM), 2020The paper presents the results of the application of artificial backpropagation neural networks in identification of signal frequency tones with different RMS noise level. The Levenberg-Marquardt (LM) and Scaled Conjugate Gradient (SCG) training algorithms were applied in the processes of neural synthesis.
Ivelina Stefanova Balabanova +3 more
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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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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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Single image noise level estimation by artificial noise
Signal Processing, 2023Fang Li 0004 +3 more
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Fingerprint Embedding Authentication with Artificial Noise: MISO Regime
2019 IEEE Conference on Communications and Network Security (CNS), 2019We apply artificial noise to the fingerprint embedding authentication framework to improve information-theoretic authentication for the MISO channel. Instead of optimizing for secrecy capacity, we examine the trade-off between message rate, authentication, and key security.
Jake Bailey Perazzone +3 more
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