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C. Schörkhuber, A. Klapuri, N. Holighaus, and M. Dörfler, "A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution," Paper P2-5, (2014 January.). doi: C. Schörkhuber, A. Klapuri, N. Holighaus, and M. Dörfler, "A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution," Paper P2-5, (2014 January.). doi:
Abstract: In this paper, we propose a time-frequency representation where the frequency bins are distributed uniformly in log-frequency and their Q-factors obey a linear function of the bin center frequencies. The latter allows for time-frequency representations where the bandwidths can be e.g. constant on the log-frequency scale (constant Q) or constant on the auditory critical-band scale (smoothly varying Q). The proposed techniques are published as a Matlab toolbox that extends [3]. Besides the features that stem from [3] - perfect reconstruction and computational efficiency - we propose here a technique for computing coefficient phases in a way that makes their interpretation more natural. Other extensions include flexible control of the Q values and more regular sampling of the time-frequency plane in order to simplify signal processing in the transform domain.

@article{schörkhuber2014a,
author={schörkhuber, christian and klapuri, anssi and holighaus, nicki and dörfler, monika},
journal={journal of the audio engineering society},
title={a matlab toolbox for efficient perfect reconstruction time-frequency transforms with log-frequency resolution},
year={2014},
volume={},
number={},
pages={},
doi={},
month={january},} @article{schörkhuber2014a,
author={schörkhuber, christian and klapuri, anssi and holighaus, nicki and dörfler, monika},
journal={journal of the audio engineering society},
title={a matlab toolbox for efficient perfect reconstruction time-frequency transforms with log-frequency resolution},
year={2014},
volume={},
number={},
pages={},
doi={},
month={january},
abstract={in this paper, we propose a time-frequency representation where the frequency bins are distributed uniformly in log-frequency and their q-factors obey a linear function of the bin center frequencies. the latter allows for time-frequency representations where the bandwidths can be e.g. constant on the log-frequency scale (constant q) or constant on the auditory critical-band scale (smoothly varying q). the proposed techniques are published as a matlab toolbox that extends [3]. besides the features that stem from [3] - perfect reconstruction and computational efficiency - we propose here a technique for computing coefficient phases in a way that makes their interpretation more natural. other extensions include flexible control of the q values and more regular sampling of the time-frequency plane in order to simplify signal processing in the transform domain.},}

TY - paper
TI - A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution
SP - EP -
AU - Schörkhuber, Christian
AU - Klapuri, Anssi
AU - Holighaus, Nicki
AU - Dörfler, Monika
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2014 TY - paper
TI - A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution
SP - EP -
AU - Schörkhuber, Christian
AU - Klapuri, Anssi
AU - Holighaus, Nicki
AU - Dörfler, Monika
PY - 2014
JO - Journal of the Audio Engineering Society
IS -
VO -
VL -
Y1 - January 2014
AB - In this paper, we propose a time-frequency representation where the frequency bins are distributed uniformly in log-frequency and their Q-factors obey a linear function of the bin center frequencies. The latter allows for time-frequency representations where the bandwidths can be e.g. constant on the log-frequency scale (constant Q) or constant on the auditory critical-band scale (smoothly varying Q). The proposed techniques are published as a Matlab toolbox that extends [3]. Besides the features that stem from [3] - perfect reconstruction and computational efficiency - we propose here a technique for computing coefficient phases in a way that makes their interpretation more natural. Other extensions include flexible control of the Q values and more regular sampling of the time-frequency plane in order to simplify signal processing in the transform domain.