Results 81 to 90 of about 2,839,413 (151)

Data-Transform Multi-Channel Hybrid Deep Learning for Automatic Modulation Recognition

IEEE Access
Automatic modulation recognition (AMR) is an essential topic of cognitive radio, which is of great significance for the analysis of wireless signals and is one of the current research hotspots.
Meng Qi, Nianfeng Shi, Guoqiang Wang, Hongxiang Shao   +3 more
doaj   +1 more source

Abstracts of 14th International Symposium on Hodgkin Lymphoma

HemaSphere, Volume 10, Issue S2, October 2026.
wiley   +1 more source

FPGA-based Automatic Modulation Recognition System for Small Satellite Communication Systems [PDF]

, 2017
Automatic Modulation Recognition (AMR) is considered one of the important applications in Software Defined Radio (SDR) receivers that gives the ability to change the demodulator of the receiver system according to the recognition of the received ...
Asami, Kenichi, Keshk, Mohamed
core   +1 more source

An Automatic Modulation Recognition Algorithm Based on Time–Frequency Features and Deep Learning with Fading Channels

Remote Sensing
Automatic modulation recognition (AMR) stands as a crucial core technology within the realm of signal processing and perception, playing a significant part in harsh electromagnetic environments. The time–frequency image (TFI) of communication signals can
Xiaoya Zuo, Yuan Yang, Rugui Yao, Ye Fan, Lu Li   +4 more
doaj   +1 more source

Automatic Modulation Recognition Algorithm Based on Multiscale Feature Extraction and Improved Encoder Structure

Elektronika ir Elektrotechnika
Automatic modulation recognition (AMR) technology is crucial in modern communication systems. To enhance the recognition performance of wireless communication systems for modulation signals, a method based on multiscale feature extraction and an improved
Tianfei Zhang, Yecai Guo, Jiao Ding, Haiyan Long, Lei Zhang   +4 more
doaj   +1 more source

Lightweight Multi-Channel Gated Recurrent Deep Neural Network for Automatic Modulation Recognition in Spatial Cognitive Radio

Applications of Modelling and Simulation
Automatic modulation recognition (AMR) is a promising technology for intelligent communication receivers to detect signal modulation schemes. Recently, the emerging deep learning (DL) research has facilitated high-performance DL-AMR approaches.
Avani Vithalani, Chintan Shah
doaj  

Boundary‐Aware Learning for Robust Automatic Modulation Recognition Based on Adaptive Pyramid Network

IET Radar, Sonar & Navigation
Automatic modulation recognition (AMR) of radar signals plays a pivotal role in intelligent spectrum management for modern electronic warfare systems.
Yuanhang Li, Mengyi Qi, Xiaofeng Tao, Wenbin Shao   +3 more
doaj   +1 more source

A Parallel CNN-LSTM Automatic Modulation Recognition Network

Applied Sciences
Automatic modulation recognition (AMR) is crucial for signal interception and analysis in non-cooperative communication scenarios. To address the challenges of low signal-to-noise ratio (SNR) and model generalizability, this paper proposes a lightweight ...
Weixuan Long, Shenyang Li, Xuehui Yu, Guangjun He, Jian Wang, Wenbo Zhao   +5 more
doaj   +1 more source

MAE‐SigNet: An effective network for automatic modulation recognition

IET Communications
The rapid development of the Internet of Things has exacerbated issues such as spectrum resource scarcity, poor communication quality, and high communication energy consumption. Automatic modulation recognition (AMR), a key technology in cognitive radio,
Shilong Zhang, Yu Song, Shubin Wang
doaj   +1 more source

IDAF: Iterative Dual-Scale Attentional Fusion Network for Automatic Modulation Recognition. [PDF]

Sensors (Basel), 2023
Liu B, Ge R, Zhu Y, Zhang B, Zhang X, Bao Y.   +5 more
europepmc   +1 more source