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Compensation of Loudspeaker-Room Responses in a Robust MIMO Control Framework
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Signals and Systems Group.
2013 (English)In: IEEE Transactions on Audio, Speech, and Language Processing, ISSN 1558-7916, E-ISSN 1558-7924, Vol. 21, no 6, 1201-1216 p.Article in journal (Refereed) Published
Abstract [en]

A new multichannel approach to robust broadband loudspeaker-room equalization is presented. Traditionally, the equalization (or room correction) problem has been treated primarily by single-channel methods, where loudspeaker input signals are prefiltered individually by separate scalar filters. Single-channel methods are generally able to improve the average spectral flatness of the acoustic transfer functions in a listening region, but they cannot reduce the variability of the transfer functions within the region. Most modern audio reproduction systems, however, contain two or more loudspeakers, and in this paper we aim at improving the equalization performance by using all available loudspeakers jointly. To this end we propose a polynomial based MIMO formulation of the equalization problem. The new approach, which is a generalization of an earlier single-channel approach by the authors, is found to reduce the average reproduction error and the transfer function variability over a region in space. Moreover, pre-ringing artifacts are avoided, and the reproduction error below 1000 Hz is significantly reduced with an amount that scales with the number of loudspeakers used.

Place, publisher, year, edition, pages
2013. Vol. 21, no 6, 1201-1216 p.
Keyword [en]
Acoustic signal processing, acoustic modeling, loudspeakers, MIMO, equalizers, sound fields, multichannel audio
National Category
Natural Sciences Engineering and Technology
Research subject
Electrical Engineering with specialization in Signal Processing
Identifiers
URN: urn:nbn:se:uu:diva-198367DOI: 10.1109/TASL.2013.2245650ISI: 000316198800008OAI: oai:DiVA.org:uu-198367DiVA: diva2:616219
Available from: 2013-04-15 Created: 2013-04-15 Last updated: 2017-12-06Bibliographically approved

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Brännmark, Lars-JohanBahne, AdrianAhlén, Anders

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