cicuetea 1.0.0

Real-time invertible Constant-Q Transform (CQT) engine based on nonstationary Gabor frames — Python reference implementation

cicuetea

Python reference implementation of CiCueTea, a real-time, invertible Constant-Q Transform (CQT) engine based on nonstationary Gabor frames (NSGF).

This package is an offline, NumPy/SciPy reference — dense and sparse forward/inverse transforms, sparse-to-dense rasterization, and the block slicing/splicing utilities used to build a streaming pipeline on top of it. The real-time, allocation-free implementation lives in the C++ library this package accompanies.

import numpy as np
from cicuetea import NsgfCQT

fs, n_samples, frac, f_min, f_max = 48000, 2**16, 1 / 48, 100, 10000
x = np.random.randn(n_samples)

cqt = NsgfCQT("dense", fs, n_samples, frac, f_min, f_max)
X = cqt.forward(x)
y = cqt.inverse(X)

Full documentation, the C++ engine, and the MATLAB reference implementation live at https://github.com/jdsierral/CiCueTea.

License

MIT — see LICENSE.