Results 131 to 140 of about 2,839,413 (151)

Guidelines on the Use of Therapeutic Apheresis in Clinical Practice-Evidence-Based Approach From the Writing Committee of the American Society for Apheresis: The Tenth Special Issue. [PDF]

open access: yesJ Clin Apher
Zantek ND   +12 more
europepmc   +1 more source

Deep learning based automatic modulation recognition: Models, datasets, and challenges [PDF]

open access: yesDigital Signal Processing, 2022
Automatic modulation recognition (AMR) detects the modulation scheme of the received signals for further signal processing without needing prior information, and provides the essential function when such information is missing.
Chunbo Luo, Jialang Xu, Fuxin Zhang
exaly   +8 more sources

NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems

IEEE Transactions on Cognitive Communications and Networking, 2022
Bamidele Adebisi   +2 more
exaly   +2 more sources

New AMR(Automatic Modulation Recognition) algorithm based on the phase difference tendency of unknown communication signal

2023 14th International Conference on Information and Communication Technology Convergence (ICTC), 2023
Hyuk-Je Kim
exaly   +2 more sources

CNN-based automatic modulation recognition for index modulation systems [PDF]

open access: yesExpert Systems With Applications, 2023
Automatic modulation recognition (AMR) has garnered significant attention in both civilian and military domains, with applications ranging from spectrum sensing and cognitive radio (CR) to the deterrence of adversary communication.
Murtaza Cicioğlu   +2 more
exaly   +3 more sources

TFI-AMR: A Transformer-based Forest-Inspired Approach for Automatic Modulation Recognition in Wireless Communication

2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
Darius Plonis   +2 more
exaly   +2 more sources

Tr‐AMR: A Lightweight Transformer With Enhanced Temporal Modeling for Automatic Modulation Recognition

International Journal of Communication Systems
ABSTRACT Deep learning‐based automatic modulation recognition (AMR) techniques are particularly well‐suited to facilitate the development of non‐cooperative communication systems, providing a robust foundation for the automatic processing of complex communication signals.
Lianzhong Zhang   +3 more
openaire   +1 more source

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