Evaluation methodology Deep Learning Mutual information Central Limit Theorem Direct detection MIMO Fitts' law Downlink Compute-and-forward Distributed computing Large random matrices Distributed estimation Feedback Decoding Optique adaptative Anisoplanatism Throughput Broadcasting Distributed hypothesis testing Block codes Differential entropy Optical fibers Few-mode fibers Masking Variable-length coding Estimation Loi de Fitts Protocols Caching Gaussian noise Jensen's inequality Mathematical models in psychology Computational modeling Storage Information theory Fitts’ law Channel capacity Side-channel analysis Channel coding Encoding Placement delivery array Aggregation order Interference Infrared communication Codes Detection DVB-T2 Decision centers Information Theory Expected-rate constraints Error exponents Lattices Coherent detection Sensors Source coding Coordination Apprentissage profond Multiplexing Optimization Statistics Broadcast channel Adaptive optics Message blinding Fading channels Communication Energy harvesting Joint source-channel coding Joint cache-channel coding Kolmogorov-Smirnov Analysis KSA Hypothesis testing Pointing Capacity Massive MIMO Optical communication Intrusion detection Cognitive radio Reliability Fiber optics communications Deep learning Entropy power inequality MapReduce Energy consumption Scheduling Empirical distribution of the eigenvalues Fiber design and fabrication Confusion coefficient Extra-reduction leakage Entropy Interference management Error exponent Communications optiques Neural networks Expected rate constraints Resource allocation Bessel kernel Cyclostationarity Machine learning Multi-hop Dynamical systems Speed-accuracy tradeoff