Eigenspace adaptive filtering for efficient pre-equalization of acoustic MIMO systems

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Spors S, Buchner H, Rabenstein R
Publication year: 2006


Abstract


Pre-equalization of MIMO systems is required for a wide variety of applications, e. g. in channel equalization and spatial sound reproduction. However, traditional adaptive algorithms fail for channel numbers of some ten or more. It is shown that the problem becomes tractable by decoupling of the MIMO adaptation problem, e. g. by a generalized singular value decomposition. This method is called eigenspace adaptive filtering. The required singular vectors depend on the unknown system response to be equalized. An reasonable approximation by data-independent transformations is derived for the example of listening room compensation yielding the approach of wave-domain adaptive filtering.



FAU Authors / FAU Editors

Rabenstein, Rudolf Prof. Dr.
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Spors, S., Buchner, H., & Rabenstein, R. (2006). Eigenspace adaptive filtering for efficient pre-equalization of acoustic MIMO systems. Florence, IT.

MLA:
Spors, Sascha, Herbert Buchner, and Rudolf Rabenstein. "Eigenspace adaptive filtering for efficient pre-equalization of acoustic MIMO systems." Proceedings of the 14th European Signal Processing Conference, EUSIPCO 2006, Florence 2006.

BibTeX: 

Last updated on 2018-10-08 at 09:11