Results 11 to 20 of about 1,588,862 (288)
MIMO Radar Adaptive Waveform Design for Extended Target Recognition
International Journal of Distributed Sensor Networks, 2015 The problems of multiple-input multiple-output (MIMO) radar adaptive waveform design in additive white Gaussian noise channels and multitarget recognition based on sequential likelihood ratio test are jointly addressed in this paper.
Lulu Wang +3 more
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User Activity Related Data Sets for Context Recognition [PDF]
, 2004 . The use of body-worn sensors for recognizing a person’s context has gained much popularity recently. For the development of suitable context recognition approaches and their evaluation, real-world data is essential.
Lukowicz, Paul +3 more
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Applied Sciences, 2023 Microseismic event identification is of great significance for enhancing our understanding of underground phenomena and ensuring geological safety. This paper employs a literature review approach to summarize the research progress on microseismic signal ...
Hongmei Shu, Ahmad Yahya Dawod
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Speaker Recognition from Raw Waveform with SincNet [PDF]
2018 IEEE Spoken Language Technology Workshop (SLT), 2018 In Proceedings of SLT ...
Mirco Ravanelli, Yoshua Bengio
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Recognition of Radar Emitters with Agile Waveform Based on Hybrid Deep Neural Network and Attention Mechanism [PDF]
Radioengineering, 2021 With the increasing complexity of the electromagnetic environment and the continuous development of radar technology, more and more modern digital programmable radars using agile waveform will appear in the future battlefield.
Y. Feng +6 more
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Low-Interception Waveform: To Prevent the Recognition of Spectrum Waveform Modulation via Adversarial Examples [PDF]
2021 XXXIVth General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS), 2021 AbstractDeep learning is applied to many complex tasks in the field of wireless communication, such as modulation recognition of spectrum waveforms, because of its convenience and efficiency. This leads to the problem of a malicious third party using a deep learning model to easily recognize the modulation format of the transmitted waveform.
Jia Tan +7 more
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Sensors, 2022 This article aims to propose an algorithm for the automatic recognition of selected radar signals. The algorithm can find application in areas such as Electronic Warfare (EW), where automatic recognition of the type of intra-pulse modulation or the type ...
Marta Walenczykowska, Adam Kawalec
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IEEE Access, 2018 Accurate recognition of distribution line fault types can provide directional guidance for line operation and maintenance personnel. Based on the analysis of time-frequency features of fault waveform, a recognized method of distribution line fault type ...
Xue Qin +5 more
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Imperceptible black-box waveform-level adversarial attack towards automatic speaker recognition
Complex & Intelligent Systems, 2022 Automatic speaker recognition is an important biometric authentication approach with emerging applications. However, recent research has shown its vulnerability on adversarial attacks.
Xingyu Zhang +5 more
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Eventogram: A Visual Representation of Main Events in Biomedical Signals
Bioengineering, 2016 Biomedical signals carry valuable physiological information and many researchers have difficulty interpreting and analyzing long-term, one-dimensional, quasi-periodic biomedical signals. Traditionally, biomedical signals are analyzed and visualized using
Mohamed Elgendi
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