Skip to main content

Lund University Publications

LUND UNIVERSITY LIBRARIES

Impulse Response Interpolation Using Optimal Transport

Sundstrom, David LU ; Elvander, Filip LU and Jakobsson, Andreas LU orcid (2023) 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023 In Conference Record - Asilomar Conference on Signals, Systems and Computers p.1350-1354
Abstract

The spatial impulse response (IR) interpolation problem is of general interest, e.g. for imaging of subsurface structures based on seismic waves, rendering of audio and radar IRs, as well as for numerous spatial audio applications. A commonly used model represents the occurring reflections as equivalent source positions, often being determined using a sparse re-construction framework employing spatial dictionaries. How-ever, in the presence of calibration errors, such spatial dictionaries tend to inaccurately represent the actual propagation, limiting these methods from being used in practice. In-stead of explicitly assuming an equivalent source model, we here introduce a trade-off between minimizing the distance to an equivalent source... (More)

The spatial impulse response (IR) interpolation problem is of general interest, e.g. for imaging of subsurface structures based on seismic waves, rendering of audio and radar IRs, as well as for numerous spatial audio applications. A commonly used model represents the occurring reflections as equivalent source positions, often being determined using a sparse re-construction framework employing spatial dictionaries. How-ever, in the presence of calibration errors, such spatial dictionaries tend to inaccurately represent the actual propagation, limiting these methods from being used in practice. In-stead of explicitly assuming an equivalent source model, we here introduce a trade-off between minimizing the distance to an equivalent source model and fitting the data by means of a multi-marginal optimal transport problem. The proposed method is evaluated on real acoustic IRs illustrating its prefer-able performance.

(Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
series title
Conference Record - Asilomar Conference on Signals, Systems and Computers
editor
Matthews, Michael B.
pages
5 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023
conference location
Pacific Grove, United States
conference dates
2023-10-29 - 2023-11-01
external identifiers
  • scopus:85189270054
ISSN
1058-6393
ISBN
9798350325744
DOI
10.1109/IEEECONF59524.2023.10476899
language
English
LU publication?
yes
additional info
Publisher Copyright: © 2023 IEEE.
id
c8a919b2-5a47-41fb-910c-c5d0cbf75ce0
date added to LUP
2024-08-22 08:11:05
date last changed
2024-09-23 16:57:11
@inproceedings{c8a919b2-5a47-41fb-910c-c5d0cbf75ce0,
  abstract     = {{<p>The spatial impulse response (IR) interpolation problem is of general interest, e.g. for imaging of subsurface structures based on seismic waves, rendering of audio and radar IRs, as well as for numerous spatial audio applications. A commonly used model represents the occurring reflections as equivalent source positions, often being determined using a sparse re-construction framework employing spatial dictionaries. How-ever, in the presence of calibration errors, such spatial dictionaries tend to inaccurately represent the actual propagation, limiting these methods from being used in practice. In-stead of explicitly assuming an equivalent source model, we here introduce a trade-off between minimizing the distance to an equivalent source model and fitting the data by means of a multi-marginal optimal transport problem. The proposed method is evaluated on real acoustic IRs illustrating its prefer-able performance.</p>}},
  author       = {{Sundstrom, David and Elvander, Filip and Jakobsson, Andreas}},
  booktitle    = {{Conference Record of the 57th Asilomar Conference on Signals, Systems and Computers, ACSSC 2023}},
  editor       = {{Matthews, Michael B.}},
  isbn         = {{9798350325744}},
  issn         = {{1058-6393}},
  language     = {{eng}},
  pages        = {{1350--1354}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  series       = {{Conference Record - Asilomar Conference on Signals, Systems and Computers}},
  title        = {{Impulse Response Interpolation Using Optimal Transport}},
  url          = {{http://dx.doi.org/10.1109/IEEECONF59524.2023.10476899}},
  doi          = {{10.1109/IEEECONF59524.2023.10476899}},
  year         = {{2023}},
}