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Automatic modulation classification for underwater acoustic Communications

The 10th IEEE International Symposium on Signal Processing and Information Technology, 2010
This paper reviews an approach for the automatic classification of digital modulation in the underwater acoustic environment. The underwater acoustic communication is affected by many factors such as; Doppler spread (so high than that for the radio frequency's communications), noise and multi-path. Any classification technique, applied to recognize the
Nouha Alyaoui   +2 more
openaire   +1 more source

Automatic modulation classification of digital modulation signals with stacked autoencoders

Digital Signal Processing, 2017
Modulation identification of the transmitted signals remain a challenging area in modern intelligent communication systems like cognitive radios. The computation of the distinct features from input data set and applying machine learning algorithms has been a well-known method in the classification of such signals.
Afan Ali, Yangyu Fan, Shu Liu 0002
openaire   +1 more source

Automatic Modulation Classification in Deep Learning

2022 5th International Conference on Communications, Signal Processing, and their Applications (ICCSPA), 2022
Khawla A. Alnajjar   +2 more
openaire   +1 more source

Automatic Digital Modulation Classification Algorithms

2006 8th international Conference on Signal Processing, 2006
In this paper, we develop a new modulation classification of MPSK signal, gain approximately classify statistics via received signal sampled and main parameters approximated. Simulation results indicate that the algorithms can gain high probability of correct classification and low compute quantity, when an appropriate sampling plan is used by SNR ...
Wei Zhang, Hu Yang
openaire   +1 more source

Blind automatic modulation classification in multipath fading channels

2017 22nd International Conference on Digital Signal Processing (DSP), 2017
Automatic Modulation Classification (AMC) has been deeply studied in the context of Cognitive Radio (CR) where it represents a required step between signal detection and demodulation. Several blind methods were proposed in the case of Additive White Gaussian Noise (AWGN) channels.
Gouldieff, Vincent   +2 more
openaire   +2 more sources

SNR-Boosted Automatic Modulation Classification

2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021
Clayton A. Harper   +3 more
openaire   +1 more source

A Highly Controllable Cooperative Automatic Modulation Classification

Wireless Personal Communications, 2023
Abdul Rahim V. C, Chris Prema S
openaire   +1 more source

Automatic Modulation Classification via Meta-Learning

IEEE Internet of Things Journal, 2023
Xiaoyang Hao   +4 more
openaire   +1 more source

A Pruning Neural Network for Automatic Modulation Classification

2021 8th International Conference on Dependable Systems and Their Applications (DSA), 2021
Zherui Zhang, Ya Tu
openaire   +1 more source

A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks

IEEE Transactions on Cognitive Communications and Networking, 2022
Hao Zhang, Fuhui Zhou, Qihui Wu
exaly  

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