Unsupervised Spectrum Anomaly Detection With Distillation and Memory Enhanced Autoencoders.

FM-Based Positioning via Deep Learning.

Adversarial Defense Embedded Waveform Design for Reliable Communication in the Physical Layer.

GAN-Based Siamese Neuron Network for Modulation Classification Against White-Box Adversarial Attacks.

Collaborative and Incremental Learning for Modulation Classification With Heterogeneous Local Dataset in Cognitive IoT.

Toward Next-Generation Signal Intelligence: A Hybrid Knowledge and Data-Driven Deep Learning Framework for Radio Signal Classification.

FedBKD: Heterogenous Federated Learning via Bidirectional Knowledge Distillation for Modulation Classification in IoT-Edge System.

Adaptive bistable stochastic resonance based blind watermark extraction in discrete cosine transform domain.

Detection Tolerant Black-Box Adversarial Attack Against Automatic Modulation Classification With Deep Learning.

Covert Wireless Communication With Noise Uncertainty in Space-Air-Ground Integrated Vehicular Networks.

Parallel Frequency Function-Deep Neural Network for Efficient Approximation of Complex Broadband Signals.

Electromagnetic Spectrum Allocation Method for Multi-Service Irregular Frequency-Using Devices in the Space-Air-Ground Integrated Network.

Covert Wireless Communication With Spectrum Mask in Internet of Things Networks.

Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information.

Performance analysis of spectrum sensing schemes based on energy detector in generalized Gaussian noise.

Multiple High-Order Cumulants-Based Spectrum Sensing in Full-Duplex-Enabled Cognitive IoT Networks.

Parallel frequency function-deep neural network for efficient complex broadband signal approximation.

On the Anti-Interference Tolerance of Cognitive Frequency Hopping Communication Systems.

SVM-Based Sea-Surface Small Target Detection: A False-Alarm-Rate-Controllable Approach.

Spectrum Sensing Based on Deep Learning Classification for Cognitive Radios.

Fusion Methods for CNN-Based Automatic Modulation Classification.

Wideband Spectrum Sensing Based on Bidirectional Decision of Normalized Spectrum for Cognitive Radio Networks.

Blind Sub-Nyquist Spectrum Sensing With Modulated Wideband Converter.

Improved cooperative spectrum sensing model based on machine learning for cognitive radio networks.

Predecision for Wideband Spectrum Sensing With Sub-Nyquist Sampling.

Comparison results of stochastic resonance effects realised by coherent and non-coherent receivers under Gaussian noise.

Random, Persistent, and Adaptive Spectrum Sensing Strategies for Multiband Spectrum Sensing in Cognitive Radio Networks With Secondary User Hardware Limitation.

Energy-Efficient Optimal Power Allocation for Fading Cognitive Radio Channels: Ergodic Capacity, Outage Capacity, and Minimum-Rate Capacity.

Maximum-Eigenvalue-Based Sensing and Power Recognition for Multiantenna Cognitive Radio System.

A Novel Method for Wireless Communication Signal Modulation Recognition in Smart Grid.

Measurement Matrix Calibration Method for Modulated Wideband Converter under Imperfect Periodic Pseudorandom Waveform.

Feasibly efficient cooperative spectrum sensing scheme based on Cholesky decomposition of the correlation matrix.

A Robust Cooperative Spectrum Sensing Method in Cognitive Radio Networks.

Effective bias reduction methods for passive source localization using TDOA and GROA.