Abstract: This paper studies the control-oriented recursive identification of finite impulse response systems with binary-valued observations. Inspired by the Maximum Likelihood method, a novel ...
Abstract: Deep neural networks (DNNs) predistortion models of radio frequency (RF) power amplifiers (PAs), while offering excellent performance, typically suffer from high parameter counts and ...
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