Results 211 to 220 of about 20,008 (265)

Energy-efficient dynamic 3D metasurfaces via spatiotemporal jamming interleaved assemblies for tactile interfaces. [PDF]

Nat Commun
An S, Li X, Guo Z, Huang Y, Zhang Y, Jiang H.   +5 more
europepmc   +1 more source

ADIBAS-Volterra aircraft trajectory prediction model based on improved dynamic integration of beetle tentacle searching. [PDF]

PLoS One
Li L, Sun S, Zhu H, Zheng C, Zeng Y.
europepmc   +1 more source

Radio Signal Modulation Recognition Method Based on Hybrid Feature and Ensemble Learning: For Radar and Jamming Signals. [PDF]

Sensors (Basel)
Zhou Y, Cao R, Zhang A, Li P.
europepmc   +1 more source

Design and optimization of a butterfly-shaped grafting clip and cutting mechanism based on finite element simulation. [PDF]

PLoS One
Su Q, Wu L, Yue Q, Gao X, Cao X, Shi H.
europepmc   +1 more source

Modulated Radio Frequency Stealth Waveforms for Ultra-Wideband Radio Fuzes. [PDF]

Entropy (Basel)
Wu K, Yang B, Hao S, Liang Y, Huang Z.
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

JRNet: Jamming Recognition Networks for Radar Compound Suppression Jamming Signals

IEEE Transactions on Vehicular Technology, 2020
As electromagnetic environments in battlefields are more and more complex, there are more kinds of suppression jamming noise including both single jamming signals and compound jamming signals. Thus, suppression jamming recognition especially for compound jamming signals is becoming vital and challenging. Whereas conventional methods are prone to owning
Qizhe Qu, Shunjun Wei, Jiadian Liang
exaly   +2 more sources

Jamming Recognition Algorithm Based on Variational Mode Decomposition

IEEE Sensors Journal, 2023
Hongping ZHOU, Xu Xiong, Zhongyi Guo
exaly   +2 more sources

Jamming Recognition Based on AC-VAEGAN

2020 15th IEEE International Conference on Signal Processing (ICSP), 2020
To solve the performance deterioration of jamming recognition method based on deep learning in the case of small sample set, a jamming recognition method based on AC-VAEGAN is presented. Interference signal time-frequency diagrams are used as the small sample training set.
Yan Tang, Zhijin Zhao, Xueyi Ye, Shilian Zheng, Lijun Wang   +4 more
openaire   +1 more source