This paper proposes a modulation recognition method based on deep learning for UWA communication bandpass signal, which is used to identify direct sequence ...
Modulation Recognition of Underwater Acoustic Communication Bandpass Signals Based on Deep Learning∗. Authors: Kunyu Wu. Kunyu Wu. College of Engineering ...
Automated classification of underwater acoustic signals allows to effectively utilize the acoustic spectrum by certain actions such as interference ...
Missing: ∗. | Show results with:∗.
Aug 21, 2023 · This paper introduces a modulation recognition system for recognizing UWAC signals based on higher-order cumulants and deep learning.
Missing: Bandpass | Show results with:Bandpass
The proposed model is based on deep hybrid neural networks called recurrent and convolutional neural network (R&CNN). As compared with the traditional ...
Missing: Bandpass | Show results with:Bandpass
Aug 16, 2023 · This paper introduces a modulation recognition system for recognizing UWAC signals based on higher-order cumulants and deep learning. The system ...
This paper uses a denoising autoencoder to reconstruct the signals as a preprocessing in order to enhance the signals and then uses the reconstructed ...
Missing: Bandpass ∗.
Jul 4, 2024 · In the field of underwater acoustic communications, various deep learning networks commonly exhibit direct stacking or simple combination ...
Missing: Bandpass | Show results with:Bandpass
People also ask
What are the modulation techniques used in underwater communication?
What is the frequency of underwater acoustic communication?
How does underwater acoustic communication work?
What is the bandwidth of underwater acoustic communication?
For this reason, this paper proposes a modulation recognition network for aquatic communication signals based on deep learning. ResNet can capture the ...
Missing: Bandpass ∗.
Jul 18, 2024 · This paper comprehensively reviews recent advances in underwater acoustic signal denoising, an area critical for improving the reliability and clarity of ...