Results 11 to 20 of about 96,602 (273)
Signal Automatic Modulation Classification and Recognition in View of Deep Learning
IEEE Access, 2023 With the advancement of 5G technology, wireless communication resources such as channels and spectrum become scarce. This necessitates ensuring the efficiency and security of signal modulation and demodulation, which imposes higher requirements for ...
Tianpei Xu, Ying Ma
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Robust Automatic Modulation Classification in Low Signal to Noise Ratio
IEEE Access, 2023 In a non-cooperative communication environment, automatic modulation classification (AMC) is an essential technology for analyzing signals and classifying different kinds of signal modulation before they are demodulated.
To Truong An, Byung Moo Lee
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Robust automatic modulation classification under noise mismatch
EURASIP Journal on Advances in Signal Processing, 2023 Automatic modulation classification plays a critical role in the intelligent reception of unknown wireless signals. In practice, the dynamic wireless environment brings a great challenge, and the actual test model is inconsistent with the training model.
Lan Guo, Rui Gao, Yang Cong, Lei Yang
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Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches
IEEE Access, 2023 This study proposes robust convolutional neural network (CNN)-based automatic modulation classification (AMC) techniques. Traditional AMCs may be classified into two types: those that rely on ML (maximum likelihood-based AMCs) and those that rely on ...
Hany S. Hussein +5 more
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Distributed Deep Learning Models for Wireless Signal Classification with Low-Cost Spectrum Sensors [PDF]
, 2018 This paper looks into the technology classification problem for a distributed wireless spectrum sensing network. First, a new data-driven model for Automatic Modulation Classification (AMC) based on long short term memory (LSTM) is proposed.
Giustiniano, Domenico +4 more
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AUTOMATIC MODULATION CLASSIFICATION USING DEEP LEARNING POLAR FEATURE
Journal of Engineering and Sustainable Development, 2023 The automatic modulation classification of signals is of great importance in modern communications, especially on cognitive radio. Several methods have been used in this field, the most important of which is the classification of modulation ...
Ali H. Shah +2 more
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MACHe - Model-based algorithm for classification of helicopters [PDF]
, 2016 Secondary motions of a target, such as rotating blades of a helicopter's main rotor, induce a Doppler modulation around the main Doppler shift. This represents a unique feature of the target itself, known as micro-Doppler signature, and can be used for ...
Gaglione, Domenico
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Speech and crosstalk detection in multichannel audio [PDF]
, 2005 The analysis of scenarios in which a number of microphones record the activity of speakers, such as in a round-table meeting, presents a number of computational challenges.
Brown, G.J. +3 more
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Applied Sciences, 2019 Recently, automatic modulation recognition has been an important research topic in wireless communication. Due to the application of deep learning, it is prospective of using convolution neural networks on raw in-phase and quadrature signals in ...
Mingxuan Li +3 more
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Lightweight decentralized learning-based automatic modulation classification method
Tongxin xuebao, 2022 In order to solve the problems in centralized learning, a lightweight decentralized learning-based AMC method was proposed.By the proposed decentralized learning, a global model was trained through local training and model weight sharing, which made full
Jie YANG +4 more
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