Results 31 to 40 of about 96,602 (273)

Low Complexity Kolmogorov-Smirnov Modulation Classification

, 2011
Kolmogorov-Smirnov (K-S) test-a non-parametric method to measure the goodness of fit, is applied for automatic modulation classification (AMC) in this paper.
Wang, Fanggang, Xu, Rongtao, Zhong, Zhangdui   +2 more
core   +1 more source

GUIDER: a GUI for semiautomatic, physiologically driven EEG feature selection for a rehabilitation BCI [PDF]

, 2017
GUIDER is a graphical user interface developed in MATLAB software environment to identify electroencephalography (EEG)-based brain computer interface (BCI) control features for a rehabilitation application (i.e. post-stroke motor imagery training).
Cincotti, Febo, Colamarino, Emma, Martinoia, M., Mattia, D., Pichiorri, Floriana, Schettini, Francesca   +5 more
core   +1 more source

ResGatNet: Bridging Efficiency and Precision in Low-SNR Wireless Perception

IEEE Access
Modulation recognition in low signal-to-noise ratio (SNR) environments poses significant challenges for existing deep learning models, particularly those based on the Vision Transformer (ViT).
Wangye Jiang, Haoming Yang, Yicheng Zhang, Jian Xu, Jingya Zhang, Yidi Teng   +5 more
doaj   +1 more source

Automatic Programming of Cellular Automata and Artificial Neural Networks Guided by Philosophy

, 2020
Many computer models such as cellular automata and artificial neural networks have been developed and successfully applied. However, in some cases, these models might be restrictive on the possible solutions or their solutions might be difficult to ...
A Ilachinski, G Simondon, K Mainzer, M Cook, N Wiener, S Wolfram, SA Kaufmann, SJ Russel, TH Cormen, WR Ashby   +9 more
core   +1 more source

Joint Multi-Pitch Detection Using Harmonic Envelope Estimation for Polyphonic Music Transcription [PDF]

, 2011
In this paper, a method for automatic transcription of music signals based on joint multiple-F0 estimation is proposed. As a time-frequency representation, the constant-Q resonator time-frequency image is employed, while a novel noise suppression ...
Emmanouil Benetos, Simon Dixon, Student Member   +2 more
core   +3 more sources

Robust Automatic Modulation Classification Under Varying Noise Conditions

IEEE Access, 2017
Automatic modulation classification (AMC) plays a key role in non-cooperative communication systems. Feature-based (FB) methods have been widely studied in particular.
Zhilu Wu, Siyang Zhou, Zhendong Yin, Bo Ma, Zhutian Yang   +4 more
doaj   +1 more source

Modulation Classification of Satellite Communication Signals Using Cumulants and Neural Networks [PDF]

National Aeronautics and Space Administration (NASA)'s future communication architecture is evaluating cognitive technologies and increased system intelligence. These technologies are expected to reduce the operational complexity of the network, increase
Downey, Joseph, Evans, Michael, Smith, Aaron   +2 more
core   +2 more sources

A knowledge distillation strategy for enhancing the adversarial robustness of lightweight automatic modulation classification models

IET Communications
Automatic modulation classification models based on deep learning models are at risk of being interfered by adversarial attacks. In an adversarial attack, the attacker causes the classification model to misclassify the received signal by adding carefully
Fanghao Xu, Chao Wang, Jiakai Liang, Chenyang Zuo, Keqiang Yue, Wenjun Li   +5 more
doaj   +1 more source

A Dictionary Learning Based Automatic Modulation Classification Method

IEEE Access, 2018
As the process of identifying the modulation format of the received signal, automatic modulation classification (AMC) has various applications in spectrum monitoring and signal interception.
Kezhong Zhang, Easton Li Xu, Zhiyong Feng, Ping Zhang   +3 more
doaj   +1 more source

Automatic modulation classification of digital modulations in presence of HF noise [PDF]

EURASIP Journal on Advances in Signal Processing, 2012
Designing an automatic modulation classifier (AMC) for high frequency (HF) band is a research challenge. This is due to the recent observation that noise distribution in HF band is changing over time. Existing AMCs are often designed for one type of noise distribution, e.g., additive white Gaussian noise.
Alharbi Hazza, Mobien Shoaib, Saleh A. Alshebeili, Fahd A. Alturki   +3 more
openaire   +1 more source