4 papers
Sound field estimation with moving microphones using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Østergaard +3
Sound field estimation with moving microphones can increase flexibility, decrease measurement time, and reduce equipment constraints compared to using stationary microphones. In th…
Time-domain sound field estimation using kernel ridge regression
Jesper Brunnström, Martin Bo Møller, Jan Østergaard +3
Sound field estimation methods based on kernel ridge regression have proven effective, allowing for strict enforcement of physical properties, in addition to the inclusion of prior…
Improved Topology-Independent Distributed Adaptive Node-Specific Signal Estimation for Wireless Acoustic Sensor Networks
Paul Didier, Toon van Waterschoot, Simon Doclo +2
This paper addresses the challenge of topology-independent (TI) distributed adaptive node-specific signal estimation (DANSE) in wireless acoustic sensor networks (WASNs) where sens…
A Comparative Analysis of Generalised Echo and Interference Cancelling and Extended Multichannel Wiener Filtering for Combined Noise Reduction and Acoustic Echo Cancellation
Arnout Roebben, Toon van Waterschoot, Marc Moonen
Two algorithms for combined acoustic echo cancellation (AEC) and noise reduction (NR) are analysed, namely the generalised echo and interference canceller (GEIC) and the extended m…