A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution

Schörkhuber C, Klapuri A, Holighaus N, Dörfler M. A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution. In: AES Conference: 53rd International Conference: Semantic Audio. Audio Engineering Society; 2014. Paper P2-5. Available from: https://aes.org/publications/elibrary-page/?id=17112

@inproceedings{Schorkhuber2014_17112,
  author = {Schörkhuber, Christian and Klapuri, Anssi and Holighaus, Nicki and Dörfler, Monika},
  title = {{A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution}},
  booktitle = {AES Conference: 53rd International Conference: Semantic Audio},
  note = {Paper P2-5},
  year = {2014},
  month = jan,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=17112}
}

TY  - CPAPER
TI  - A Matlab Toolbox for Efficient Perfect Reconstruction Time-Frequency Transforms with Log-Frequency Resolution
AU  - Schörkhuber, Christian
AU  - Klapuri, Anssi
AU  - Holighaus, Nicki
AU  - Dörfler, Monika
T2  - AES Conference: 53rd International Conference: Semantic Audio
M1  - Paper P2-5
PY  - 2014
DA  - 2014/01/06
UR  - https://aes.org/publications/elibrary-page/?id=17112
PB  - Audio Engineering Society
LA  - en
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.
ER  -