Zobrazeno 1 - 10
of 59
pro vyhledávání: '"Elvander, Filip"'
This paper presents a novel approach to audio restoration, focusing on the enhancement of low-quality music recordings, and in particular historical ones. Building upon a previous algorithm called BABE, or Blind Audio Bandwidth Extension, we introduc
Externí odkaz:
http://arxiv.org/abs/2403.18636
Autor:
Flood, Gabrielle, Elvander, Filip
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 signals are not known, the localization task is challenging due to the data
Externí odkaz:
http://arxiv.org/abs/2403.10329
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, such as speech or music, remains a challenging problem due to, e.g.,
Externí odkaz:
http://arxiv.org/abs/2403.03762
Autor:
Haasler, Isabel, Elvander, Filip
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 optimal transport is a powerful tool for estimating spatial spectra that c
Externí odkaz:
http://arxiv.org/abs/2402.19345
Audio bandwidth extension involves the realistic reconstruction of high-frequency spectra from bandlimited observations. In cases where the lowpass degradation is unknown, such as in restoring historical audio recordings, this becomes a blind problem
Externí odkaz:
http://arxiv.org/abs/2306.01433
Autor:
Blochberger, Matthias, Elvander, Filip, Ali, Randall, Østergaard, Jan, Jensen, Jesper, Moonen, Marc, van Waterschoot, Toon
Distributed signal-processing algorithms in (wireless) sensor networks often aim to decentralize processing tasks to reduce communication cost and computational complexity or avoid reliance on a single device (i.e., fusion center) for processing. In
Externí odkaz:
http://arxiv.org/abs/2303.00832
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 implementation may be found on https://www.maths.lu.se/staff/andreas-jakobsson/p
Externí odkaz:
http://arxiv.org/abs/2111.05579
In this work, we consider the problem of bounding the values of a covariance function corresponding to a continuous-time stationary stochastic process or signal. Specifically, for two signals whose covariance functions agree on a finite discrete set
Externí odkaz:
http://arxiv.org/abs/2110.02728
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, possibly disjoint, and only partially known, sampling times. The potenti
Externí odkaz:
http://arxiv.org/abs/2110.02357
Autor:
Elvander, Filip, Karlsson, Johan
The estimation of the covariance function of a stochastic process, or signal, is of integral importance for a multitude of signal processing applications. In this work, we derive closed-form expressions for the variance of covariance estimates for mi
Externí odkaz:
http://arxiv.org/abs/2106.14696