Warped, Kautz, and Fixed-Pole Parallel Filters: A Review
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B. Bank, "Warped, Kautz, and Fixed-Pole Parallel Filters: A Review," J. Audio Eng. Soc., vol. 70, no. 6, pp. 414-434, (2022 June.). doi:
B. Bank, "Warped, Kautz, and Fixed-Pole Parallel Filters: A Review," J. Audio Eng. Soc., vol. 70 Issue 6 pp. 414-434, (2022 June.). doi:
Abstract: In audio signal processing, the aim is the best possible sound quality for a given computational complexity. For this, taking into account the logarithmic frequency resolution of hearing is a good starting point. The present paper provides an overview on warped, Kautz, and fixed-pole parallel filters and demonstrates that they are all capable of achieving logarithmiclike frequency resolution, providing much more efficient filtering or equalization compared to straightforward finite impulse response (FIR) or infinite impulse response (IIR) filters. Besides presenting the historical development of the three methods, the paper discusses their relations and provides a comparison in terms of accuracy, computational requirements, and design complexity. The comparison includes loudspeaker--room response modeling and equalization examples.
@article{bank2022warped,,
author={bank, balázs},
journal={journal of the audio engineering society},
title={warped, kautz, and fixed-pole parallel filters: a review},
year={2022},
volume={70},
number={6},
pages={414-434},
doi={},
month={june},}
@article{bank2022warped,,
author={bank, balázs},
journal={journal of the audio engineering society},
title={warped, kautz, and fixed-pole parallel filters: a review},
year={2022},
volume={70},
number={6},
pages={414-434},
doi={},
month={june},
abstract={in audio signal processing, the aim is the best possible sound quality for a given computational complexity. for this, taking into account the logarithmic frequency resolution of hearing is a good starting point. the present paper provides an overview on warped, kautz, and fixed-pole parallel filters and demonstrates that they are all capable of achieving logarithmiclike frequency resolution, providing much more efficient filtering or equalization compared to straightforward finite impulse response (fir) or infinite impulse response (iir) filters. besides presenting the historical development of the three methods, the paper discusses their relations and provides a comparison in terms of accuracy, computational requirements, and design complexity. the comparison includes loudspeaker--room response modeling and equalization examples.},}
TY - paper
TI - Warped, Kautz, and Fixed-Pole Parallel Filters: A Review
SP - 414
EP - 434
AU - Bank, Balázs
PY - 2022
JO - Journal of the Audio Engineering Society
IS - 6
VO - 70
VL - 70
Y1 - June 2022
TY - paper
TI - Warped, Kautz, and Fixed-Pole Parallel Filters: A Review
SP - 414
EP - 434
AU - Bank, Balázs
PY - 2022
JO - Journal of the Audio Engineering Society
IS - 6
VO - 70
VL - 70
Y1 - June 2022
AB - In audio signal processing, the aim is the best possible sound quality for a given computational complexity. For this, taking into account the logarithmic frequency resolution of hearing is a good starting point. The present paper provides an overview on warped, Kautz, and fixed-pole parallel filters and demonstrates that they are all capable of achieving logarithmiclike frequency resolution, providing much more efficient filtering or equalization compared to straightforward finite impulse response (FIR) or infinite impulse response (IIR) filters. Besides presenting the historical development of the three methods, the paper discusses their relations and provides a comparison in terms of accuracy, computational requirements, and design complexity. The comparison includes loudspeaker--room response modeling and equalization examples.
In audio signal processing, the aim is the best possible sound quality for a given computational complexity. For this, taking into account the logarithmic frequency resolution of hearing is a good starting point. The present paper provides an overview on warped, Kautz, and fixed-pole parallel filters and demonstrates that they are all capable of achieving logarithmiclike frequency resolution, providing much more efficient filtering or equalization compared to straightforward finite impulse response (FIR) or infinite impulse response (IIR) filters. Besides presenting the historical development of the three methods, the paper discusses their relations and provides a comparison in terms of accuracy, computational requirements, and design complexity. The comparison includes loudspeaker--room response modeling and equalization examples.
Open Access
Author:
Bank, Balázs
Affiliation:
Department of Measurement and Information Systems, Budapest University of Technology and Economics, Budapest, Hungary JAES Volume 70 Issue 6 pp. 414-434; June 2022
Publication Date:
June 10, 2022Import into BibTeX
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http://www.aes.org/e-lib/browse.cfm?elib=21793