Results 21 to 30 of about 2,336,734 (289)
Sensors, 2023 This paper researches the recognition of modulation signals in underwater acoustic communication, which is the fundamental prerequisite for achieving noncooperative underwater communication.
Maofa Wang, Zhenjing Zhu, Gaofeng Qian
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Linear equalization of the modulation spectra: a novel approach for noisy speech recognition [PDF]
, 2003 The paper tackles the problem of noisy speech recognition. In particular, we present a novel approach to the design of filters for processing the modulation spectrum, that we call linear equalization.
Peláez-Moreno, Carmen +10 more
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Underwater Communication Signal Recognition Using Sequence Convolutional Network
IEEE Access, 2021 Automatic modulation recognition (AMR) is one of the essential parts in the intelligent communication system. In the underwater acoustic communication, it is a challenging work that promptly and easily recognizes the signal modulation schemes by ...
Yan Wang +6 more
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Dynamic Online Modulation Recognition using Incremental Learning [PDF]
, 2023 Modulation recognition is a fundamental task in communication systems as the accurate identification of modulation schemes is essential for reliable signal processing, interference mitigation for coexistent communication technologies, and network ...
Owfi, Ali +4 more
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Tuning of human modulation filters is carrier-frequency dependent [PDF]
, 2013 Recent studies employing speech stimuli to investigate 'cocktail-party' listening have focused on entrainment of cortical activity to modulations at syllabic (5 Hz) and phonemic (20 Hz) rates.
Reiss Joshua D. +11 more
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Modulation Recognition of MPSK Signals Based on Novel Convolutional Neural Network
Journal of Harbin University of Science and Technology, 2021 With the rapid development of 釭tificial intelligence, convolutional neural network is more and more applied to the field of communication signal modulation recognition.
WANG Ai-li +4 more
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Rapid face recognition using hashing [PDF]
, 2010 We propose a face recognition approach based on hashing. The approach yields comparable recognition rates with the random ℓ1 approach, which is considered the state-of-the-art. But our method is much faster: it is up to 150 times faster than on the YaleB
Shen, Chunhua +8 more
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Modulation of Hoogsteen dynamics on DNA recognition [PDF]
Nature Communications, 2018 AbstractIn naked duplex DNA, G–C and A–T Watson-Crick base pairs exist in dynamic equilibrium with their Hoogsteen counterparts. Here, we used nuclear magnetic resonance (NMR) relaxation dispersion and molecular dynamics (MD) simulations to examine how Watson-Crick/Hoogsteen dynamics are modulated upon recognition of duplex DNA by the bisintercalator ...
Yu Xu +3 more
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A survey of deep learning applied to radio signal modulation recognition
Dianzi Jishu Yingyong, 2019 Modulation recognition of radio signals plays a vital role in radio monitoring and spectrum management. As the deep learning network in artificial neural network has the powerful ability of representation learning which can automatically extract various ...
Yuan Bingqing +2 more
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Improved Deep Neural Network for OFDM Signal Recognition Using Hybrid Grey Wolf Optimization
IEEE Access, 2020 Orthogonal Frequency Division Multiplexing (OFDM), as the core technology in mobile communications, is a multi-carrier modulation technology with high frequency spectrum utilization, which has strong anti-multipath interference and anti-fading ability ...
Yan Zhang +4 more
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