Inverse Filtering Design Using a Minimal-Phase Target Function from Regularization

Bouchard M, Norcross SG, Soulodre GA. Inverse Filtering Design Using a Minimal-Phase Target Function from Regularization. In: AES Convention 121. Audio Engineering Society; 2006. Paper 6929. Available from: https://aes.org/publications/elibrary-page/?id=13763

@inproceedings{Bouchard2006_13763,
  author = {Bouchard, Martin and Norcross, Scott G. and Soulodre, Gilbert A.},
  title = {{Inverse Filtering Design Using a Minimal-Phase Target Function from Regularization}},
  booktitle = {AES Convention 121},
  note = {Paper 6929},
  year = {2006},
  month = oct,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=13763}
}

TY  - CPAPER
TI  - Inverse Filtering Design Using a Minimal-Phase Target Function from Regularization
AU  - Bouchard, Martin
AU  - Norcross, Scott G.
AU  - Soulodre, Gilbert A.
T2  - AES Convention 121
M1  - Paper 6929
PY  - 2006
DA  - 2006/10/06
UR  - https://aes.org/publications/elibrary-page/?id=13763
PB  - Audio Engineering Society
LA  - en
AB  - Inverse filtering methods commonly use amplitude regularization as a technique to limit the amount of work done by the inverse filter. The amount of regularization needed must be carefully selected so that the audio quality is not degraded. This paper introduces a method of using the magnitude of the regularization to design a target/desired response in which the phase response can be arbitrarily chosen. By choosing a minimum-phase response, one can reduce any pre-response in the corrected signal that is introduced by the regularization. Objective measures, such as PEAQ and subjective tests conducted in accordance to the MUSHRA method are used to evaluate the subjective performance of this new approach of designing a target response.
ER  -