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Found 3 papers, 0 papers with code
Deep Multi-Emitter Spectrum Occupancy Mapping that is Robust to the Number of Sensors, Noise and Threshold
We show that such a system may be designed with neural networks using a process of aggregation to allow a variable number of sensors during training and testing.
Training-Based Equivalence Relations in Large-Scale Quantized Communication Systems
We show that a quantized large-scale system with unknown parameters and training signals can be analyzed by examining an equivalent system with known parameters by modifying the signal power and noise variance in a prescribed manner.
Quantization
Information Theory
Information Theory
Analyzing Training Using Phase Transitions in Entropy---Part I: General Theory
We analyze phase transitions in the conditional entropy of a sequence caused by a change in the conditional variables or input distribution.
One-Shot Learning
Information Theory
Information Theory
