Research graph
References from IQFormerLite: a hardware-efficient framework for real-time automatic modulation recognition on edge NPUs. Local targets link to admitted publications; unresolved targets remain external evidence.
Edge-efficient deep learning models for automatic modulation classification: a performance analysis
2024 · External reference
Automatic modulation classification scheme based on LSTM with random erasing and attention mechanism
10.1109/access.2020.3017641 · 2020 · External reference
SigNet: a novel deep learning framework for radio signal classification
10.1109/tccn.2021.3120997 · 2022 · External reference
Abandon locality: frame-wise embedding aided transformer for automatic modulation recognition
10.1109/lcomm.2022.3213523 · 2023 · External reference
PeLK: parameter-efficient large kernel ConvNets with peripheral convolution
2024 · External reference
Channel pruning method for signal modulation recognition deep learning models
10.1109/tccn.2023.3329000 · 2024 · External reference
Learn to defend: adversarial multi-distillation for automatic modulation recognition models
10.1109/tifs.2024.3361172 · 2024 · External reference
Unresolved reference
External reference
Online hybrid likelihood based modulation classification using multiple sensors
10.1109/twc.2017.2704124 · 2017 · External reference
Lightweight automatic modulation classification based on decentralized learning
10.1109/tccn.2021.3089178 · 2022 · External reference
GGCNN: an efficiency-maximizing gated graph convolutional neural network architecture for automatic modulation identification
10.1109/twc.2023.3239311 · 2023 · External reference
Ultralight convolutional neural network for automatic modulation classification in internet of unmanned aerial vehicles
10.1109/jiot.2024.3373497 · 2024 · External reference
MCformer: a transformer based deep neural network for automatic modulation classification
2021 · External reference
ClST: a convolutional transformer framework for automatic modulation recognition by knowledge distillation
10.1109/twc.2023.3347537 · 2024 · External reference
Automatic modulation classification of overlapped sources using multiple cumulants
10.1109/tvt.2016.2636324 · 2017 · External reference
Real-time radio Technology and modulation classification via an LSTM auto-encoder
10.1109/twc.2021.3095855 · 2022 · External reference
A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges
10.1007/s10462-025-11223-9 · 2025 · External reference
On the representation of continuous functions of several variables by superpositions of continuous functions of a smaller number of variables
10.1090/trans2/017/12 · 1961 · External reference
Unresolved reference
External reference
An improved neural network pruning technology for automatic modulation classification in edge devices
10.1109/tvt.2020.2983143 · 2020 · External reference
Learning of time-frequency attention mechanism for automatic modulation recognition
10.1109/lwc.2022.3140828 · 2022 · External reference
Modulation recognition using signal enhancement and multistage attention mechanism
10.1109/twc.2022.3181026 · 2022 · External reference
GLR-SEI: green and low resource specific emitter identification based on complex networks and Fisher pruning
10.1109/tetci.2023.3303092 · 2024 · External reference
Automatic modulation recognition based on a DCN-BiLSTM network
10.3390/s21051577 · 2021 · External reference
Unresolved reference
External reference
Automatic modulation classification using cyclic correntropy spectrum in impulsive noise
10.1109/lwc.2018.2875001 · 2019 · External reference
Unresolved reference
External reference
CGDNet: efficient hybrid deep learning model for robust automatic modulation recognition
10.1109/lnet.2021.3057637 · 2021 · External reference
10.1007/978-3-319-44188-7_16
10.1007/978-3-319-44188-7_16 · 2016 · External reference
Over-the-air deep learning based radio signal classification
10.1109/jstsp.2018.2797022 · 2018 · External reference
FedBKD: heterogenous federated learning via bidirectional knowledge distillation for modulation classification in IoT-edge system
10.1109/jstsp.2022.3224597 · 2023 · External reference
Enhancing automatic modulation recognition for IoT applications using Transformers
10.3390/iot5020011 · 2024 · External reference
SwiftFormer: efficient additive attention for transformer-based real-time mobile vision applications
2023 · External reference
IQFormer: a novel transformer-based model with multi-modality fusion for automatic modulation recognition
10.1109/tccn.2024.3485118 · 2025 · External reference
Unresolved reference
External reference
Unresolved reference
2017 · External reference
Data-driven deep learning for automatic modulation recognition in cognitive radios
10.1109/tvt.2019.2900460 · 2019 · External reference
Multidimensional CNN-LSTM network for automatic modulation classification
10.3390/electronics10141649 · 2021 · External reference
Complex-valued depthwise separable convolutional neural network for automatic modulation classification
2023 · External reference
A spatiotemporal multi-channel learning framework for automatic modulation recognition
10.1109/lwc.2020.2999453 · 2020 · External reference
Automatic modulation classification using CNN-LSTM based dual-stream structure
10.1109/tvt.2020.3030018 · 2020 · External reference
An efficient deep learning model for automatic modulation recognition based on parameter estimation and transformation
10.1109/lcomm.2021.3102656 · 2021 · External reference
AMC-Net: an effective network for automatic modulation classification
2023 · External reference
Lightweight automatic modulation classification via progressive differentiable architecture search
10.1109/tccn.2023.3306391 · 2023 · External reference
CTRNet: an automatic modulation recognition based on transformer-CNN neural network
10.3390/electronics13173408 · 2024 · External reference
A likelihood-based algorithm for blind identification of QAM and PSK signals
10.1109/twc.2018.2811802 · 2018 · External reference
10.1007/978-3-319-44188-7_16
10.1007/978-3-319-44188-7_16 · ExternalCitation · doi-reference
A comprehensive survey of deep learning for time series forecasting: architectural diversity and open challenges
10.1007/s10462-025-11223-9 · ExternalCitation · doi-reference
On the representation of continuous functions of several variables by superpositions of continuous functions of a smaller number of variables
10.1090/trans2/017/12 · ExternalCitation · doi-reference
Automatic modulation classification scheme based on LSTM with random erasing and attention mechanism
10.1109/access.2020.3017641 · ExternalCitation · doi-reference
Ultralight convolutional neural network for automatic modulation classification in internet of unmanned aerial vehicles
10.1109/jiot.2024.3373497 · ExternalCitation · doi-reference
Over-the-air deep learning based radio signal classification
10.1109/jstsp.2018.2797022 · ExternalCitation · doi-reference
FedBKD: heterogenous federated learning via bidirectional knowledge distillation for modulation classification in IoT-edge system
10.1109/jstsp.2022.3224597 · ExternalCitation · doi-reference
An efficient deep learning model for automatic modulation recognition based on parameter estimation and transformation
10.1109/lcomm.2021.3102656 · ExternalCitation · doi-reference
Abandon locality: frame-wise embedding aided transformer for automatic modulation recognition
10.1109/lcomm.2022.3213523 · ExternalCitation · doi-reference
CGDNet: efficient hybrid deep learning model for robust automatic modulation recognition
10.1109/lnet.2021.3057637 · ExternalCitation · doi-reference
Automatic modulation classification using cyclic correntropy spectrum in impulsive noise
10.1109/lwc.2018.2875001 · ExternalCitation · doi-reference
A spatiotemporal multi-channel learning framework for automatic modulation recognition
10.1109/lwc.2020.2999453 · ExternalCitation · doi-reference
Learning of time-frequency attention mechanism for automatic modulation recognition
10.1109/lwc.2022.3140828 · ExternalCitation · doi-reference
Lightweight automatic modulation classification based on decentralized learning
10.1109/tccn.2021.3089178 · ExternalCitation · doi-reference
SigNet: a novel deep learning framework for radio signal classification
10.1109/tccn.2021.3120997 · ExternalCitation · doi-reference
Lightweight automatic modulation classification via progressive differentiable architecture search
10.1109/tccn.2023.3306391 · ExternalCitation · doi-reference
Channel pruning method for signal modulation recognition deep learning models
10.1109/tccn.2023.3329000 · ExternalCitation · doi-reference
IQFormer: a novel transformer-based model with multi-modality fusion for automatic modulation recognition
10.1109/tccn.2024.3485118 · ExternalCitation · doi-reference
GLR-SEI: green and low resource specific emitter identification based on complex networks and Fisher pruning
10.1109/tetci.2023.3303092 · ExternalCitation · doi-reference
Learn to defend: adversarial multi-distillation for automatic modulation recognition models
10.1109/tifs.2024.3361172 · ExternalCitation · doi-reference
Automatic modulation classification of overlapped sources using multiple cumulants
10.1109/tvt.2016.2636324 · ExternalCitation · doi-reference
Data-driven deep learning for automatic modulation recognition in cognitive radios
10.1109/tvt.2019.2900460 · ExternalCitation · doi-reference
An improved neural network pruning technology for automatic modulation classification in edge devices
10.1109/tvt.2020.2983143 · ExternalCitation · doi-reference
Automatic modulation classification using CNN-LSTM based dual-stream structure
10.1109/tvt.2020.3030018 · ExternalCitation · doi-reference
Online hybrid likelihood based modulation classification using multiple sensors
10.1109/twc.2017.2704124 · ExternalCitation · doi-reference
A likelihood-based algorithm for blind identification of QAM and PSK signals
10.1109/twc.2018.2811802 · ExternalCitation · doi-reference
Real-time radio Technology and modulation classification via an LSTM auto-encoder
10.1109/twc.2021.3095855 · ExternalCitation · doi-reference
Modulation recognition using signal enhancement and multistage attention mechanism
10.1109/twc.2022.3181026 · ExternalCitation · doi-reference
GGCNN: an efficiency-maximizing gated graph convolutional neural network architecture for automatic modulation identification
10.1109/twc.2023.3239311 · ExternalCitation · doi-reference
ClST: a convolutional transformer framework for automatic modulation recognition by knowledge distillation
10.1109/twc.2023.3347537 · ExternalCitation · doi-reference
Multidimensional CNN-LSTM network for automatic modulation classification
10.3390/electronics10141649 · ExternalCitation · doi-reference
CTRNet: an automatic modulation recognition based on transformer-CNN neural network
10.3390/electronics13173408 · ExternalCitation · doi-reference
Enhancing automatic modulation recognition for IoT applications using Transformers
10.3390/iot5020011 · ExternalCitation · doi-reference
Automatic modulation recognition based on a DCN-BiLSTM network
10.3390/s21051577 · ExternalCitation · doi-reference
