Multi-scale convolution GRU model parameters.

<div><p>Shortwave communication plays a vital role in disaster relief and remote communications due to its long-range capabilities and resilience to interference. However, challenges such as multipath propagation, frequency-selective fading, and low signal-to-noise ratios (SNR) significa...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Jiuxiao Cao (21594403) (author)
مؤلفون آخرون:	Rui Zhu (305217) (author), Zhen Wang (72451) (author), Jun Wang (5906) (author), Guohao Shi (21594406) (author), Peng Chu (5565407) (author)
منشور في:	2025
الموضوعات:	Space Science Biological Sciences not elsewhere classified spatial feature diversity sequential learning capacity remote communications due hybrid architecture enhances evaluated using five ensure statistical reliability different receptive fields dataset includes 45 common shortwave protocols captures temporal dependencies 3gale &# 8212 000 labeled samples subcarrier modulations based scale convolutional gru robust signal classification subcarrier classification low signal world sources vital role time deployment study proposes standard gpu selective fading scalable solution results show results confirm range capabilities protocol identification noise ratios multipath propagation inference time gru provides fold cross disaster relief dimensional representations bidirectional gru based real 8 db 10 db
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Multi-scale convolution GRU model parameters.

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