202209 bcvcVersion of RecordRGCOthersNational Natural Science Foundation of China; Hong Kong Polytechnic UniversityPublishe
Modulated signal recognition and classification occupies an important position in electronic informa...
Over the past several years, Deep Learning (DL) has been widely regarded as a fundamental technology...
The rapid development of data-driven techniques brings us new applications, such asfifth-generation ...
We propose a transfer learning assisted deep neural network (DNN) method for optical-signal-to-noise...
This paper implements a deep learning-based modulation pattern recognition algorithm for communicati...
We demonstrate a deep neural network (DNN) trained with amplitude histograms (AHs) for optical perfo...
This paper proposes a convolution neural network (CNN) architecture for automatic recognition of sig...
202205 bchyAccepted ManuscriptRGCThe Hong Kong Polytechnic University; Natural Science Foundation of...
With the development of artificial intelligence technology, deep learning has been applied to automa...
In wireless communications receiver plays a main role to recognize modulation techniques which were ...
The ability to differentiate between different radio signals is important when using communication...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
In this paper, a novel deep learning-based robust automatic modulation classification (AMC) method i...
Deep neural network (DNN)-aided spatial modulation (SM) is conceived. In particular, a pair of DNN s...
A novel algorithm for simultaneous modulation format/bit-rate classi-fication and non-data-aided (ND...
Modulated signal recognition and classification occupies an important position in electronic informa...
Over the past several years, Deep Learning (DL) has been widely regarded as a fundamental technology...
The rapid development of data-driven techniques brings us new applications, such asfifth-generation ...
We propose a transfer learning assisted deep neural network (DNN) method for optical-signal-to-noise...
This paper implements a deep learning-based modulation pattern recognition algorithm for communicati...
We demonstrate a deep neural network (DNN) trained with amplitude histograms (AHs) for optical perfo...
This paper proposes a convolution neural network (CNN) architecture for automatic recognition of sig...
202205 bchyAccepted ManuscriptRGCThe Hong Kong Polytechnic University; Natural Science Foundation of...
With the development of artificial intelligence technology, deep learning has been applied to automa...
In wireless communications receiver plays a main role to recognize modulation techniques which were ...
The ability to differentiate between different radio signals is important when using communication...
This is the author accepted manuscript. The final version is available from Elsevier via the DOI in ...
In this paper, a novel deep learning-based robust automatic modulation classification (AMC) method i...
Deep neural network (DNN)-aided spatial modulation (SM) is conceived. In particular, a pair of DNN s...
A novel algorithm for simultaneous modulation format/bit-rate classi-fication and non-data-aided (ND...
Modulated signal recognition and classification occupies an important position in electronic informa...
Over the past several years, Deep Learning (DL) has been widely regarded as a fundamental technology...
The rapid development of data-driven techniques brings us new applications, such asfifth-generation ...
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