PERFORMANCE ENHANCEMENT OF THE CHANNEL ESTIMATION VIA DEEP LEARNING

Optimizing Automatic Modulation Classification through Gaussian-Regularized Hybrid CNN-LSTM Architecture

JOINT COMPRESSIVE SENSING FRAMEWORK FOR SPARSE DATA/CHANNEL ESTIMATION IN NON-ORTHOGONAL MULTICARRIER SCHEME

ADAPTIVE SPECTRUM SENSING IN COGNITIVE RADIO NETWORKS

FAIR- M-ESTIMATOR BASED MIMO DETECTOR AND MIMO SYSTEM INVESTIGATION IN NON-GAUSSIAN CHANNELS

COMPRESSED MEASUREMENTS BASED CYCLOSTATIONARY DETECTOR FOR WIDEBAND COGNITIVE RADIOS

AN ON-LINE OPTIMAL ARTIFICIAL NEURAL NETWORK-BASED CONTROLLER FOR SIMPLIFIED ORDER POWER SYSTEMS

DEEP LEARNING MITIGATION OF SEA CLUTTER FOR ENHANCED RADAR TARGET DETECTION

Channel estimation for OFDM systems using radial basis function networks

Automatic Modulation Classification: Convolutional Deep Learning Neural Networks Approaches