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Found 2 papers, 1 papers with code
Learning to Design Analog Circuits to Meet Threshold Specifications
In this work, we propose a method for generating from simulation data a dataset on which a system can be trained via supervised learning to design circuits to meet threshold specifications.
Quantifying the Capacity Gains in Coarsely Quantized SISO Systems with Nonlinear Analog Operators
While reducing the number and resolution of the ADCs decreases power consumption, it also leads to a reduction in channel capacity due to the information loss induced by coarse quantization.
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