Results 241 to 250 of about 111,023 (296)
Advances in New Physical Layer Technologies for Next-Generation Wireless Communications. [PDF]
Entropy (Basel)Liu L.
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A Review of Transverse Mode Adaptive Control Based on Photonic Lanterns. [PDF]
Micromachines (Basel)Lu Y, Jiang Z, Chen Z, Sun Z, Liu T.
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MIMO-OFDM JSAC Waveform Design Based on Phase Perturbation and Hybrid Optimization. [PDF]
Sensors (Basel)Guo Z, Chen B, Peng S.
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OAM multiplication operator enabled holographic multiplexing. [PDF]
Light Sci ApplShen F +8 more
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High-capacity directional information processor using all-optical multilayered neural networks. [PDF]
Sci AdvWang G +7 more
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International Journal of Communication Systems, 2022
A high‐capacity free‐space optics‐based terrestrial communication link using spectral‐efficient space division multiplexing and polarization division multiplexing techniques has been proposed in this research work.
V. Pandi +4 more
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A high‐capacity free‐space optics‐based terrestrial communication link using spectral‐efficient space division multiplexing and polarization division multiplexing techniques has been proposed in this research work.
V. Pandi +4 more
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Joint-Mapping Orthogonal Frequency Division Multiplexing With Subcarrier Number Modulation
IEEE Transactions on Communications, 2021Orthogonal frequency division multiplexing with subcarrier number modulation (OFDM-SNM) has been recently proposed to improve the spectral efficiency (SE) of the traditional OFDM system.
Miaowen Wen +5 more
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Journal of the Acoustical Society of America, 2021
In this paper, a meta-learning-based underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) system is proposed to deal with the environment mismatch in real-world UWA applications, which can effectively drive the model from the given
Yonglin Zhang +4 more
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In this paper, a meta-learning-based underwater acoustic (UWA) orthogonal frequency division multiplexing (OFDM) system is proposed to deal with the environment mismatch in real-world UWA applications, which can effectively drive the model from the given
Yonglin Zhang +4 more
semanticscholar +1 more source