Scaling Up Adaptive Filter Optimizers: A Detailed Analysis
The author introduces a new method called supervised multi-step adaptive filters (SMS-AF) that leverages neural networks to optimize linear multi-delay or multi-channel frequency-domain filters. The approach focuses on scaling performance by increasing model capacity and inference cost.
