A meta-learning-based delayless subband adaptive filter using a self-attention RNN learns the adaptive filter update rule for active noise control and outperforms NFxLMS and DSNFxLMS in simulations.
Elliott, Signal Processing for Active Control, Academic Press, San Diego, (2000)
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
eess.AS 1years
2024 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Meta-Learning-Based Delayless Subband Adaptive Filter using Complex Self-Attention for Active Noise Control
A meta-learning-based delayless subband adaptive filter using a self-attention RNN learns the adaptive filter update rule for active noise control and outperforms NFxLMS and DSNFxLMS in simulations.