Results 11 to 20 of about 83,689 (283)
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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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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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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Exploiting Full-Waveform Lidar Data and Multiresolution Wavelet Analysis for Vertical Object Detection and Recognition [PDF]
, 2007 A current challenge in performing airport obstruction surveys using airborne lidar is lack of reliable, automated methods for extracting and attributing vertical objects from the lidar data.
Parrish, Christopher
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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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Non-intrusive electrical appliance load identification method based on CNN and K-means clustering
Journal of Hebei University of Science and Technology, 2022 Aiming at the problem that the current non-invasive load monitoring can only identify a single household appliance,and the recognition rate of multiple household appliances running at the same time is low,a non-invasive household appliance identification
Zheng LI +5 more
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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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IET Radar, Sonar & Navigation, 2023 This study proposes a small sample recognition method for radar waveforms based on data enhancement of ambiguity function generative adversarial networks (AFGAN) to address the issue of low recognition rate and unbalanced class recognition rate.
Haijun Wang +7 more
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Radar waveform design and processing using joint amplitude‐frequency‐phase modulation
IET Radar, Sonar & Navigation, 2023 Radar waveform design is facing severe challenges with the development of radar countermeasure technology, such as easy access to intra‐pulse modulation property and poor anti‐recognition capabilities.
Tiehua Zhao +4 more
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Radar waveform recognition based on a two‐stream convolutional network and software defined radio
IET Radar, Sonar & Navigation, 2022 As one of the key technologies of electromagnetic spectrum operations, radar waveform recognition is an important basis for judging the threat degree of enemy’s weapons.
Yan Xia, Zhiyuan Ma, Zhi Huang
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