Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A radio signal recognition approach based on complex-valued CNN and self-attention mechanism
Automatic modulation recognition (AMR) of radio signals is becoming increasingly important
due to its key role in wireless communication system management, monitoring, and control …
due to its key role in wireless communication system management, monitoring, and control …
MobileNet and knowledge distillation-based automatic scenario recognition method in vehicle-to-vehicle systems
Automatic scenario recognition (ASR) based on channel status information (CSI) is an
important auxiliary technology for various wireless communication systems, especially …
important auxiliary technology for various wireless communication systems, especially …
Timing synchronization based on supervised learning of spectrogram for ofdm systems
This paper proposes a supervised convolutional neural network (CNN) based symbol timing
synchronization method using the spectrogram image for preamble-less orthogonal …
synchronization method using the spectrogram image for preamble-less orthogonal …
Frame boundary detection and deep learning-based doppler shift estimation for FBMC/OQAM communication system in underwater acoustic channels
Underwater acoustic (UWA) communication is the only option for underwater long-distance
wireless communication. However, its data rate is very low, in tens of kbps, and the time …
wireless communication. However, its data rate is very low, in tens of kbps, and the time …
Automatic composite-modulation classification using cyclic-paw-print features for cognitive aerospace communications
Automatic composite-modulation classification (ACMC) is deemed to be an essential and
important cognitive mechanism adopted for the next generation intelligent telemetry …
important cognitive mechanism adopted for the next generation intelligent telemetry …
Joint SNR and rician K-factor estimation using multimodal network over mobile fading channels
This paper proposes a novel joint signal-to-noise ratio (SNR) and Rician K-factor estimation
scheme based on supervised multimodal learning. In the case of using machine learning to …
scheme based on supervised multimodal learning. In the case of using machine learning to …
[HTML][HTML] Distributed cooperative automatic modulation classification using dwa-admm in wireless communication networks
Automatic modulation classification (AMC) is an important component in non-cooperative
wireless communication networks to identify the modulation schemes of the received …
wireless communication networks to identify the modulation schemes of the received …
Uniqgan: Towards improved modulation classification with adversarial robustness using scalable generator design
Automatic modulation classification (AMC) has been envisioned as a significant element for
security issues at the physical layer due to its indispensable role in accurate …
security issues at the physical layer due to its indispensable role in accurate …
Doppler shift effect on bandwidth availability for UAV communications
Unmanned Aerial Vehicle (UAV) use has experienced a remarkable surge across different
applications in the past decade. Ensuring uninterrupted data connectivity to the Command …
applications in the past decade. Ensuring uninterrupted data connectivity to the Command …
Reinforcement learning-based adaptive modulation scheme over underwater acoustic OFDM communication channels
The conventional adaptive modulation (AM) technology is restricted in its effectiveness
within the rapidly changing time-space-frequency of the underwater acoustic (UWA) …
within the rapidly changing time-space-frequency of the underwater acoustic (UWA) …