activity
20232026
most citedJoint Spectrogram Separation and TDOA Estimation using Optimal Transport

1 citations · 1 across the 3 of their papers we have counts for

collaborators

6 papers

eess.AS2026

Signed Wasserstein distance for room impulse response comparison

Linda Fabiani, Sebastian J. Schlecht, Filip Elvander

The nature of room impulse response signals is often adverse to a clear evaluation of similarity: they are sparse, rapidly varying, signed signals resulting from the complex intera…

eess.AS2026

Optimal transport of image sources for interpolation of room impulse responses with moving sources

Jesper Brunnström, Filip Elvander, Isabel Haasler

In geometrical acoustics, room impulse responses (RIRs) can be represented by a set of image sources in free space. For a fixed source position, the image sources allow for computi…

eess.AS2026

Acoustic Image Source Interpolation with Optimal Transport Barycenter

Yuyang Liu, Rumeshika Pallewela, Jesper Brunnström +2

Room impulse responses can be estimated via the image source model (ISM) using the image source point cloud (ISPC) of a physical source. However, because the source movement change…

eess.AS2025★ 1 cited

Joint Spectrogram Separation and TDOA Estimation using Optimal Transport

Linda Fabiani, Sebastian J. Schlecht, Isabel Haasler +1

Separating sources is a common challenge in applications such as speech enhancement and telecommunications, where distinguishing between overlapping sounds helps reduce interferenc…

eess.SP2024

Multi-Source Localization and Data Association for Time-Difference of Arrival Measurements

Gabrielle Flood, Filip Elvander

In this work, we consider the problem of localizing multiple signal sources based on time-difference of arrival (TDOA) measurements. In the blind setting, in which the source signa…

eess.SP2023

Distributed Adaptive Norm Estimation for Blind System Identification in Wireless Sensor Networks

Matthias Blochberger, Filip Elvander, Randall Ali +4

Distributed signal-processing algorithms in (wireless) sensor networks often aim to decentralize processing tasks to reduce communication cost and computational complexity or avoid…