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Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-019-04515-0
Abstract: Neural network (NN) finds role in variety of applications due to combined effect of feature extraction and classification availability in deep learning algorithms. In this paper, we have chosen SVM, logistic regression machine learning algorithms…
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Keywords:
classification;
eeg signal;
performance;
neural network ... See more keywords
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Published in 2020 at "Measurement"
DOI: 10.1016/j.measurement.2019.107374
Abstract: Abstract Lamb waves are commonly used to locate low velocity impacts in composite structures. However, it is readily influenced by varying temperature conditions that the phase drift of uniform linear array signals will quite difference…
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Keywords:
varying temperature;
multiple signal;
signal classification;
temperature conditions ... See more keywords
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Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3221475
Abstract: Traditional denoising algorithms are easy to lose signal details, resulting in low recognition accuracy of modulated signals. A modulation signal classification algorithm based on denoising residual Convolutional Neural Network (DRCNet) is proposed. DRCNet inserts a…
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Keywords:
neural network;
network;
signal classification;
convolutional neural ... See more keywords
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Published in 2023 at "IEEE Access"
DOI: 10.1109/access.2023.3265305
Abstract: Electrocardiograms (ECG) are the primary basis for the diagnosis of cardiovascular diseases. However, due to the large volume of patients’ ECG data, manual diagnosis is time-consuming and laborious. Therefore, intelligent automatic ECG signal classification is…
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Keywords:
classification;
resnext;
signal classification;
ecg signal ... See more keywords
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Published in 2020 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2020.2965787
Abstract: Discriminant analysis is a technique used in statistics and machine learning to separate two or more classes of objects or events. We introduce linear, quadratic, and mixture discriminant analysis methods into radar signal classification. However,…
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Keywords:
signal classification;
analysis;
radar signal;
discriminant analysis ... See more keywords
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Published in 2019 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2019.2932407
Abstract: In this paper, blind signal classification and detection in a non-orthogonal multiple access (NOMA) system are explored. Since a NOMA scheme superposes the multiple-user signals within nonorthogonal resources, classical modulation classification methods used in orthogonal…
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Keywords:
signal classification;
multiple access;
orthogonal multiple;
blind signal ... See more keywords
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Published in 2022 at "IEEE Transactions on Vehicular Technology"
DOI: 10.1109/tvt.2022.3199038
Abstract: The integration of Cognitive Radio (CR) with Unmanned Aerial Vehicles (UAVs) is an effective step towards relieving the spectrum scarcity and empowering the UAV with a high degree of intelligence. The dynamic nature of CR…
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Keywords:
classification;
cognitive uav;
jamming signal;
signal classification ... See more keywords
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Published in 2022 at "International Journal of Distributed Sensor Networks"
DOI: 10.1177/15501329221097583
Abstract: Aiming at the issue of parameter matching in conventional two-step location, a reduced dimension multiple signal classification direct position determination algorithm based on multi-array is proposed. Based on the idea of dimension reduction, the algorithm…
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Keywords:
multiple signal;
algorithm;
signal classification;
dimension multiple ... See more keywords
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Published in 2018 at "Applied Sciences"
DOI: 10.3390/app8122664
Abstract: Recently, many studies have reported on image synthesis based on Generative Adversarial Networks (GAN). However, the use of GAN does not provide much attention on the signal classification problem. In the context of using wireless…
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Keywords:
generative adversarial;
classification;
adversarial networks;
auxiliary classifier ... See more keywords