Results 11 to 20 of about 450,675 (283)
Classification of Left Octonionic Modules
Advances in Applied Clifford Algebras, 2021 It is natural to study octonion Hilbert spaces as the recently swift development of the theory of quaternion Hilbert spaces. In order to do this, it is important to study first its algebraic structure, namely, octonion modules. In this article, we provide complete classification of left octonion modules.
Qinghai Huo, Yong Li, Guangbin Ren
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The Performance Analysis of Complex-Valued Neural Network in Radio Signal Recognition
IEEE Access, 2022 Many techniques have been developed for wireless signal recognition in many fifth generation (5G) enabled derivatives. Many harsh constraints, such as the large amount of model parameters and complex signal characteristics, drives intelligent recognition
Jie Xu +3 more
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Perceptual classification of chromatic modulation [PDF]
Visual Neuroscience, 2004 (article appeared in Visual Neuroscience (2004), 21, 283–289Due to a production error, the second author affiliation is incorrectly cited. It should have read as follows:INSERM U371, Cerveau et Vision, IFR 19, Institut Fédératif des Neurosciences, Université Claude Bernard Lyon I, Bron ...
Bouet, Romain, Knoblauch, Kenneth
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Automatic Modulation Classification Using a Deep Multi-Stream Neural Network
IEEE Access, 2020 In wireless communication, modulation classification is an important part of the non-cooperative communication, and it is difficult to classify the various modulation schemes using conventional methods.
Hao Zhang +4 more
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Countering Physical Eavesdropper Evasion with Adversarial Training
IEEE Open Journal of the Communications Society, 2022 Signal classification is a universal problem in adversarial wireless scenarios, especially when an eavesdropping radio receiver attempts to glean information about a target transmitter’s patterns, attributes, and contents over a wireless channel ...
Kyle W. McClintick +4 more
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Spread spectrum modulation recognition based on phase diagram entropy
Frontiers in Signal Processing, 2023 Wireless communication technologies are undergoing intensive study and are experiencing accelerated progress which leads to a large increase in the number of end-users. Because of this, the radio spectrum has become more crowded than ever.
Denis Stanescu +6 more
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The classification of endo-trivial modules [PDF]
Inventiones mathematicae, 2004 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Carlson, Jon F., Thévenaz, Jacques
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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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IEEE Access, 2020 In modulation classification domain, handcrafted feature based method can fit well from a few labeled samples, while deep learning based method require a large amount of samples to achieve the superior classification performance.
Yunhao Shi +3 more
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Classification of 2F-modules, I
Journal of Algebra, 2002 Starting with the work of \textit{J. G. Thompson} [Pac. J. Math. 16, 371-372 (1966; Zbl 0136.28502)] and continued by the work of \textit{G. Glauberman} [Q. J. Math., Oxf. II. Ser. 24, 71-77 (1973; Zbl 0255.20015); ibid. 26, 257-261 (1975; Zbl 0319.20022)]; \textit{G. Glauberman} and \textit{R. Niles} [Proc. Lond. Math. Soc., III. Ser.
Guralnick, Robert M., Malle, Gunter
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