Results 171 to 180 of about 1,363 (214)

Wearable thumb sleeves enabled by self-supervised learning with few stretchable sensors and few-shot data for switchable finger tasks. [PDF]

Sci Adv
Li K, Yue W, Guo Y, Li Y, Shen G, Lee JC.   +5 more
europepmc   +1 more source

Artificial intelligence in sleep diagnostics for children under 2 years of age: state of the evidence and future directions. [PDF]

Eur Respir Rev
Ahmed MI, Taytard J, Verhulst S, Ioan I.
europepmc   +1 more source

Detecting subsurface diseases on airport road surface based on an improved SSD algorithm. [PDF]

PLoS One
Pan M, Chen H, Yang L, Jiang X.
europepmc   +1 more source

Robust SAR Waveform Design for Extended Target in Spectrally Dense Environments. [PDF]

Sensors (Basel)
Zhang R, Wu F, Gao B, Xu G, Wu J, Zhang J.   +5 more
europepmc   +1 more source

Study on the Ground-Penetrating Radar Response Characteristics of Pavement Voids Based on a Three-Phase Concrete Model. [PDF]

Sensors (Basel)
Wei S, Zhang H, Fu J, Han W.
europepmc   +1 more source

Automatic Recognition of General LPI Radar Waveform Using SSD and Supplementary Classifier [PDF]

IEEE Transactions on Signal Processing, 2019
For low probability of intercept (LPI) radars, frequency-modulated and phase-modulated continuous waveforms are widely used because of their low peak power compared to that of pulse waves (PW). However, there has been a limited number of studies on recognizing continuous wave (CW) LPI radar, in spite of its importance and popularity.
Minjun Kim, Seung-Hyun Kong, Linh Hoang   +2 more
exaly   +5 more sources

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Automatic Radar Waveform Recognition

IEEE Journal on Selected Topics in Signal Processing, 2007
In this paper, a system for automatically recognizing radar waveforms is introduced. This type of techniques are needed in various spectrum management, surveillance and cognitive radio or radar applications. The intercepted radar signal is classified to eight classes based on the pulse compression waveform: linear frequency modulation (LFM), discrete ...
Visa Koivunen, Jarmo Lunden
exaly   +2 more sources

Accurate LPI Radar Waveform Recognition With CWD-TFA for Deep Convolutional Network

IEEE Wireless Communications Letters, 2021
Automotive radars, with a widespread emergence in the last decade, have faced various jamming attacks. Utilizing low probability of intercept (LPI) radar waveforms, as one of the essential solutions, demands an accurate waveform recognizer at the intercept receiver.
Van Sang Doan, Toan-Van Nguyen, Cam-Hao Hua   +2 more
exaly   +2 more sources