29 citations · 43 across the 12 of their papers we have counts for
15 papers
Boundary-Informed Sound Field Reconstruction
David Sundström, Filip Elvander, Andreas Jakobsson
We consider the problem of reconstructing the sound field in a room using prior information of the boundary geometry, represented as a point cloud. In general, when no boundary inf…
Room Impulse Response Estimation through Optimal Mass Transport Barycenters
Rumeshika Pallewela, Yuyang Liu, Filip Elvander
In this work, we consider the problem of jointly estimating a set of room impulse responses (RIRs) corresponding to closely spaced microphones. The accurate estimation of RIRs is c…
Mixtures of ensembles: System separation and identification via optimal transport
Filip Elvander, Isabel Haasler
Crowd dynamics and many large biological systems can be described as populations of agents or particles, which can only be observed on aggregate population level. Identifying the d…
Room Impulse Response Estimation using Optimal Transport: Simulation-Informed Inference
David Sundström, Anton Björkman, Andreas Jakobsson +1
The ability to accurately estimate room impulse responses (RIRs) is integral to many applications of spatial audio processing. Regrettably, estimating the RIR using ambient signals…
Multi-frequency tracking via group-sparse optimal transport
Isabel Haasler, Filip Elvander
In this work, we introduce an optimal transport framework for inferring power distributions over both spatial location and temporal frequency. Recently, it has been shown that opti…
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach
Eloi Moliner, Filip Elvander, Vesa Välimäki
Audio bandwidth extension involves the realistic reconstruction of high-frequency spectra from bandlimited observations. In cases where the lowpass degradation is unknown, such as…
An efficient solver for designing optimal sampling schemes
Filip Elvander, Johan Swärd, Andreas Jakobsson
In this short paper, we describe an efficient numerical solver for the optimal sampling problem considered in "Designing Sampling Schemes for Multi-Dimensional Data". An implementa…
Determining Joint Periodicities in Multi-time Data With Sampling Uncertainties
David Svedberg, Filip Elvander, Andreas Jakobsson
In this work, we introduce a novel approach for determining a joint sparse spectrum from several non-uniformly sampled data sets, where each data set is assumed to have its own, po…
Defining Fundamental Frequency for Almost Harmonic Signals
Filip Elvander, Andreas Jakobsson
In this work, we consider the modeling of signals that are almost, but not quite, harmonic, i.e., composed of sinusoids whose frequencies are close to being integer multiples of a…
On Harmonic Approximations of Inharmonic Signals
Filip Elvander, Jie Ding, Andreas Jakobsson
In this work, we present the misspecified Gaussian Cramér-Rao lower bound for the parameters of a harmonic signal, or pitch, when signal measurements are collected from an almost,…
Mismatched Estimation of Polynomially Damped Signals
Filip Elvander, Johan Swärd, Andreas Jakobsson
In this work, we consider the problem of estimating the parameters of polynomially damped sinusoidal signals, commonly encountered in, for instance, spectroscopy. Generally, findin…
Multi-Marginal Optimal Mass Transport with Partial Information
Filip Elvander, Isabel Haasler, Andreas Jakobsson +1
During recent decades, there has been a substantial development in optimal mass transport theory and methods. In this work, we consider multi-marginal problems wherein only partial…
Non-Coherent Sensor Fusion via Entropy Regularized Optimal Mass Transport
Filip Elvander, Isabel Haasler, Andreas Jakobsson +1
This work presents a method for information fusion in source localization applications. The method utilizes the concept of optimal mass transport in order to construct estimates of…
Interpolation and Extrapolation of Toeplitz Matrices via Optimal Mass Transport
Filip Elvander, Andreas Jakobsson, Johan Karlsson
In this work, we propose a novel method for quantifying distances between Toeplitz structured covariance matrices. By exploiting the spectral representation of Toeplitz matrices, t…
Designing Sampling Schemes for Multi-Dimensional Data
Johan Swärd, Filip Elvander, Andreas Jakobsson
In this work, we propose a method for determining a non-uniform sampling scheme for multi-dimensional signals by solving a convex optimization problem reminiscent of the sensor sel…