Adaptive Basis Direct Learning Method for Predistortion of RF Power Amplifier
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Microwave and Wireless Components Letters"
DOI: 10.1109/lmwc.2019.2951193
Abstract: In this letter, an adaptive basis direct learning (DL) method was proposed for the linearization of power amplifiers (PAs). The proposed method can reduce the complexity and improve the stability performance of DL digital predistortion… read more here.
Keywords: method; basis direct; learning method; power ... See more keywords
Direct Learning With Multi-Task Neural Networks for Treatment Effect Estimation
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Knowledge and Data Engineering"
DOI: 10.1109/tkde.2021.3112591
Abstract: Causal inference from observational data lies at the heart of education, healthcare, optimal resource allocation and many other decision-making processes. Most of existing methods estimate the target treatment effect indirectly by inferring the underlying treatment… read more here.
Keywords: treatment effect; effect; direct learning; treatment ... See more keywords
1-bit Observation for Direct-Learning-Based Digital Predistortion of RF Power Amplifiers
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Microwave Theory and Techniques"
DOI: 10.1109/tmtt.2016.2642945
Abstract: In this paper, we propose a low-cost data-acquisition approach for model extraction of digital predistortion (DPD) of RF power amplifiers. The proposed approach utilizes only 1-bit-resolution analog-to-digital converters (ADCs) in the observation path to digitize… read more here.
Keywords: direct learning; digital predistortion; power amplifiers; power ... See more keywords