Nuutti Tervo — accepted AI-conference papers

2025

Simplified Augmented Real-Valued Time-Delay Neural Network for Digital Predistortion

Lesthuruge Silva, Sri Satish Krishna Chaitanya Bulusu, Nuutti Tervo, Premanandana Rajatheva

ICASSP 2025accepted

The conventional augmented real-valued time-delay neural network (ARVTDNN) approach offers state-of-the-art performance in power amplifier linearization but suffers from high complexity. This paper introduces a simplified ARVTDNN (SARTDNN) model to compensate for power amplifier distortions with low…

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2023

Machine Learning-Aided Piece-Wise Modeling Technique of Power Amplifier for Digital Predistortion

S. S. Krishna Chaitanya Bulusu, Nuutti Tervo, Praneeth Susarla, Mikko J. Sillanpää, Olli Silvén, Markku J. Juntti +1

ICASSP 2023accepted

We propose a new power amplifier (PA) behavioral modeling approach, to characterize and compensate for the signal quality degrading effects induced by a PA with a machine learning (ML) aided piece-wise (PW) modeling approach. Instead of using a single pruned Volterra model, we use multiple small-siz…

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