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Multichannel Inverse Filtering with Minimal-Phase Regularization

Inverse filtering methods are used in numerous audio applications such as loudspeaker and room correction. Regularization is commonly used to limit the amount of the original response that the inverse filter attempts to correct in an effort to reduce audible artifacts. It has been shown that the amount and type of regularization used in the inversion process must be carefully chosen so that it does not add additional artifacts that can degrade the audio signal. A method of designing a target function based on the regularization magnitude was introduced by the authors, where a minimal-phase target function could be used to reduce any pre-response caused by the regularization. In the current paper, a multi-channel inverse filtering scheme is introduced and explored where the phase of the regularization itself can be chosen to reduce the audibility of the added regularization. In the single-channel case, this approach is shown to be equivalent to the technique that was previously introduced by the authors.

Authors: Norcross, Scott G.; Bouchard, Martin
Affiliations: Communications Research Centre; School of Information Technology and Engineering (SITE), University of Ottawa(See document for exact affiliation information.)
AES Convention:123 (October 2007) Paper Number:7265 Import into BibTeX
Subject:Signal Processing for Room Correction

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