Abstract: This paper introduces a low-complexity memoryless linearizer for suppression of distortion in analog-to-digital interfaces. It is inspired by neural networks, but has a substantially lower ...
Abstract: In this paper, a versatile analog pre-distortion linearizer with both independently tunable amplitude compensation and adjustable depth of inflection is proposed in the current context of ...
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