A time-domain kernel ridge regression framework for sound field estimation is derived, with closed-form solutions and experimental gains from time-domain data weighting.
Optimally regular- ized adaptive filtering algorithms for room acoustic signal enhancement,
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
citation-role summary
background 1
citation-polarity summary
fields
eess.AS 1years
2025 1verdicts
CONDITIONAL 1roles
background 1polarities
unclear 1representative citing papers
citing papers explorer
-
Time-domain sound field estimation using kernel ridge regression
A time-domain kernel ridge regression framework for sound field estimation is derived, with closed-form solutions and experimental gains from time-domain data weighting.