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 IT

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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