Abstract
The spectral analysis of signals is currently either dominated by the speed–accuracy trade-off or ignores a signal’s often nonstationary character. Here we introduce an open-source algorithm to calculate the fast continuous wavelet transform (fCWT). The parallel environment of fCWT separates scale-independent and scale-dependent operations, while utilizing optimized fast Fourier transforms
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