2 papers
eess.SP2026
All-pole centroids in the Wasserstein metric with applications to clustering of spectral densities
Rumeshika Pallewela, Filip Elvander
In this work, we propose a method for computing centroids, or barycenters, in the spectral Wasserstein-2 metric for sets of power spectral densities, where the barycenters are rest…
eess.SP2025
Inverse harmonic clustering for multi-pitch estimation: an optimal transport approach
Anton Björkman, Filip Elvander
In this work, we consider the problem of multi-pitch estimation, i.e., identifying super-imposed truncated harmonic series from noisy measurements. We phrase this as recovering a h…