Eigenspace adaptive filtering for efficient pre-equalization of acoustic MIMO systems
Spors S, Buchner H, Rabenstein R (2006)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2006
Publisher: IEEE
Event location: Florence
URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=50249178537∨igin=inward
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.
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How to cite
APA:
Spors, S., Buchner, H., & Rabenstein, R. (2006). Eigenspace adaptive filtering for efficient pre-equalization of acoustic MIMO systems. In Proceedings of the 14th European Signal Processing Conference, EUSIPCO 2006. Florence, IT: IEEE.
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 IEEE, 2006.
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