QTAM - Q-Transform with Amplitude Modulation
A full PyTorch implementation of the invertible Q-transform. QTAM exploits Amplitude Modulation and de-Modulation to increase and decrease the size of the produced spectrograms, making it possible to encode all the physical information of a signal in 2D images of modest dimensions. The analytical invertibility of QTAM ensures that no physically relevant features are lost when going from time to time-frequency representation and vice versa. The package include classes for multi-configuration Q-scanning for time-frequency analysis; the user can perform a scan over the parameter space to choose the frequency window and Q value which best suite their analysis.
More information can be found at: "https://github.com/dottormale/Qtransform_torch/tree/main/QTAM".
Installation
pip install qtam
2 maintainers
Metadata
2 maintainers
Release files for qtam 0.3.0
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Source distribution (sdist)
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| qtam-0.3.0.tar.gz | 90.9 kB | Details |
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|---|---|---|---|---|
| qtam-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 166.6 kB
Release files / qtam-0.3.0.tar.gz
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