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Emanuel Cohen

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Open access 2026

Low-Complexity Model-Based Deep Learning for MIMO Digital Predistortion via Neural Network Array Modeling

This work presents a direct-learning architecture of a neural network (NN) digital predistortion (DPD) linearizer for a multiple-input multiple-output (MIMO) system while maintaining low complexity compared to a single-input single-output (SISO) system.

Erez Loebl, Nimrod Ginzberg, Emanuel Cohen · 0 citations