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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Pushing the limits of raw waveform speaker recognition
Interspeech 2022, 2022 submitted to INTERSPEECH 2022 as a conference paper.
Jee-weon Jung +5 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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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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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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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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Development of Artificial Intelligence to Support Needle Electromyography Diagnostic Analysis [PDF]
Healthcare Informatics Research, 2019 ObjectivesThis study proposes a method for classifying three types of resting membrane potential signals obtained as images through diagnostic needle electromyography (EMG) using TensorFlow-Slim and Python to implement an artificial-intelligence-based ...
Sangwoo Nam +4 more
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Convolutional Neural Networks for Automatic Cognitive Radio Waveform Recognition
IEEE Access, 2017 Cognitive radio technology is an important branch in the field of wireless communication, and automatic identification is a major part of cognitive radio technology. Convolutional neural network (CNN) is an advanced neural network, which is the forefront
Ming Zhang, Ming Diao, Limin Guo
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LPI Radar Waveform Recognition Based on Multi-Resolution Deep Feature Fusion
IEEE Access, 2021 Deep neural networks are used as effective methods for the Low Probability of Intercept (LPI) radar waveform recognition. However, existing models' performance degrades seriously at low Signal-to-Noise Ratios (SNRs) because the effective features ...
Xue Ni +4 more
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