Low-Complexity Wireless Technique Classification With Multifeature ...
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Jun 12, 2024 · Addressing this, our article introduces a novel solution, the multifeature fusion broad learning network (MFBLN) for WTC, which employs broad ...
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Oct 24, 2024 · Addressing this, our article introduces a novel solution, the multifeature fusion broad learning network. (MFBLN) for WTC, which employs broad ...
Jun 16, 2024 · Addressing this, our paper introduces a novel solution, the Multi-Feature Fusion Broad Learning Network (MFBLN) for WTC, which employs broad ...
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Addressing this, our paper introduces a novel solution, the Multi-Feature Fusion Broad Learning Network (MFBLN) for WTC, which employs broad learning. Here ...
Low-Complexity Wireless Technique Classification With Multifeature Fusion Broad Learning Network ... Network with Masked Modeling for Wireless ...
The proposed framework provides a more accurate, robust and less complex V2X signal identification system and shows the relevance and the low complexity of ...
This work aims to propose a deep learning solution using convolutional neural networks, cheap software defined radios and efficient embedded platforms
In this paper, we propose a deep learning-based intelligent modulation sensing technique for dual-functional transmitters.
Missing: Broad | Show results with:Broad
Sep 27, 2024 · It aims at the precise identification and classification of wireless signals of a variety of modulation types. Wireless signals encompass a ...