DocumentCode
3143680
Title
Improved loudspeaker-room equalization using multiple loudspeakers and MIMO feedforward control
Author
Brännmark, Lars-Johan ; Bahne, Adrian ; Ahlén, Anders
Author_Institution
Dept. of Eng. Sci., Signals & Syst., Uppsala Univ., Uppsala, Sweden
fYear
2012
fDate
25-30 March 2012
Firstpage
237
Lastpage
240
Abstract
In this paper, a new multichannel approach to robust loudspeaker-room equalization is presented. Traditionally, the equalization (or room correction) problem has been treated mostly by single-channel methods, with loudspeaker signals being prefiltered individually by separate scalar filters. Single-channel methods can generally improve the average spectral flatness of the acoustic transfer functions in a listening region, but the variability of the transfer functions within the region cannot be affected. 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 general MIMO formulation of the problem, which is a multichannel generalization of an earlier single-channel approach by the authors. The new approach is found to reduce the average reproduction error and the spatial variability of the acoustic transfer functions. 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.
Keywords
MIMO systems; acoustic signal processing; feedforward; filtering theory; loudspeakers; sound reproduction; spectral analysis; transfer functions; MIMO feedforward control; MIMO formulation; acoustic transfer functions; audio reproduction systems; equalization performance; loudspeaker signals; multichannel approach; multichannel generalization; multiple loudspeakers; preringing artifacts; reproduction error; robust loudspeaker-room equalization; room correction problem; separate scalar filters; single-channel approach; single-channel methods; spatial variability; spectral flatness; Acoustics; Delay; Loudspeakers; MIMO; Polynomials; Robustness; Transfer functions; Acoustic signal processing; MIMO; audio systems; equalizers; polynomials;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech and Signal Processing (ICASSP), 2012 IEEE International Conference on
Conference_Location
Kyoto
ISSN
1520-6149
Print_ISBN
978-1-4673-0045-2
Electronic_ISBN
1520-6149
Type
conf
DOI
10.1109/ICASSP.2012.6287861
Filename
6287861
Link To Document