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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.
Author (s): Norcross, Scott G.;
Bouchard, Martin;
Affiliation:
Communications Research Centre; School of Information Technology and Engineering (SITE), University of Ottawa
(See document for exact affiliation information.)
AES Convention: 123
Paper Number:7265
Publication Date:
2007-10-06
Session subject:
Signal Processing for Room Correction
DOI:
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Norcross, Scott G.; Bouchard, Martin; 2007; Multichannel Inverse Filtering with Minimal-Phase Regularization [PDF]; Communications Research Centre; School of Information Technology and Engineering (SITE), University of Ottawa; Paper 7265; Available from: https://aes.org/publications/elibrary-page/?id=14323
Norcross, Scott G.; Bouchard, Martin; Multichannel Inverse Filtering with Minimal-Phase Regularization [PDF]; Communications Research Centre; School of Information Technology and Engineering (SITE), University of Ottawa; Paper 7265; 2007 Available: https://aes.org/publications/elibrary-page/?id=14323
@inproceedings{Norcross2007multichannel,
title={{Multichannel Inverse Filtering with Minimal-Phase Regularization}},
author={Norcross, Scott G. and Bouchard, Martin},
year={2007},
month={oct},
booktitle={Journal of the Audio Engineering Society},
publisher={Paper 7265; AES Convention 123; October 2007},
number={7265},
organization={AES},
}
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