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Recognition of Noises and Noise Speech Signals by Artificial Neural Networks

2021 International Conference on Biomedical Innovations and Applications (BIA), 2022
Balabanova 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
openaire   +3 more sources

Profiling of Urban Noise Using Artificial Intelligence

Computer Systems Science and Engineering, 2023
La 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
openaire   +1 more source

Noise Suppression by Artificial Neural Networks

Proceedings of the Second International Conference on Advanced Wireless Information, Data, and Communication Technologies, 2017
In 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
openaire   +1 more source

Guaranteeing Secrecy using Artificial Noise

IEEE Transactions on Wireless Communications, 2008
The 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
openaire   +1 more source

Noise-attenuation in artificial genetic networks

Computational Systems Bioinformatics. CSB2003. Proceedings of the 2003 IEEE Bioinformatics Conference. CSB2003, 2004
Dynamics 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
openaire   +1 more source

Identification of Tones with Noises by Artificial Intelligence

2020 28th National Conference with International Participation (TELECOM), 2020
The 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
openaire   +1 more source

Secure Spatial Modulation Based on Artificial Noise

2018 IEEE/CIC International Conference on Communications in China (ICCC), 2018
A 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
openaire   +1 more source

Measuring noise level reduction using an artificial noise source

The Journal of the Acoustical Society of America, 2015
Residences 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
openaire   +1 more source

Secret communication using artificial noise

VTC-2005-Fall. 2005 IEEE 62nd Vehicular Technology Conference, 2005., 2006
The 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
openaire   +1 more source

Artificial Noise Scheme for Correlated MISO Wiretap Channels

IEEE Transactions on Vehicular Technology, 2019
This correspondence paper studies how correlation of the wiretap channel affects the secrecy rate of the artificial noise (AN) scheme. To this end, we first develop a simple but tight lower bound on the ergodic secrecy rate of the AN scheme on correlated multiple-input single-output wiretap channels.
Sangseok Yun   +2 more
openaire   +1 more source

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