qdft 0.4

Constant-Q Sliding DFT

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
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

1. 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

2. Russell Bradford et al. (2005). Sliding is Smoother Than Jumping. International Computer Music Conference Proceedings. http://hdl.handle.net/2027/spo.bbp2372.2005.086

3. Krzysztof Duda (2010). Accurate, Guaranteed Stable, Sliding Discrete Fourier Transform. IEEE Signal Processing Magazine. https://ieeexplore.ieee.org/document/5563098

4. 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.