Constant-Q Sliding DFT
Project description
Constant-Q Sliding DFT in C++ and Python (QDFT)
Forward and inverse Constant-Q Sliding DFT according to [1] with following features:
- Arbitrary octave resolution (quarter tone by default)
- Built-in parameterizable cosine family window (Hann by default)
- Customizable time and frequency domain data type in C++
- Endless single or multiple sample processing at once
- Optional analysis latency control parameter
- Real-time analysis and synthesis capability
WIP
- Readme
- Docstrings
- PyPI package qdft
- Sliding chromagram as a bonus
Examples
| QDFT | Chroma12 |
|---|---|
 |
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| face.py | cmajor.py |
 |
 |
See also
If you're interested in Sliding DFT with linear frequency resolution, don't forget to browse my jurihock/sdft project!
References
-
Russell Bradford et al. (2008). Sliding with a Constant Q. International Conference on Digital Audio Effects. https://www.dafx.de/paper-archive/2008/papers/dafx08_63.pdf
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Russell Bradford et al. (2005). Sliding is Smoother Than Jumping. International Computer Music Conference Proceedings. http://hdl.handle.net/2027/spo.bbp2372.2005.086
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Krzysztof Duda (2010). Accurate, Guaranteed Stable, Sliding Discrete Fourier Transform. IEEE Signal Processing Magazine. https://ieeexplore.ieee.org/document/5563098
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Eric Jacobsen and Peter Kootsookos (2007). Fast, Accurate Frequency Estimators. IEEE Signal Processing Magazine. https://ieeexplore.ieee.org/document/4205098
License
github.com/jurihock/qdft is licensed under the terms of the MIT license. For details please refer to the accompanying LICENSE file distributed with it.
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