fcwt
is a pure Rust library for fast continuous wavelet transform (CWT) computations using the FFT algorithm. It provides a flexible and efficient way to perform CWT on signals, particularly useful in signal processing and time-frequency analysis.
This is a port of the fCWT C++ library [[https://github.com/fastlib/fCWT]]. Test vectors have been compared between the outputs of fCWT and fcwt-rs.
- Supports custom wavelet and scale definitions using traits.
- Utilizes rustfft for fast computations in pure Rust
- fftw3 can optionally be enabled with the
fftw
feature flag
- Implement parallel computations
- Currently only LinFreqs scales are implemented
Add fcwt
to your Cargo.toml
:
[dependencies]
fcwt = "0.1.2"
use fcwt::{FastCwt, wavelet::MorletWavelet, scales::LinFreqs};
// Create a Morlet Wavelet with sigma=1.0
let wavelet = MorletWavelet::new(2.0);
// Create a frequency scale
let scales = LinFreqs::new(&wavelet, 1000, 0.1, 40.0, 300);
// Create a FastCwt instance using the specified Wavelet and Scales
let mut fcwt = FastCwt::new(w, scales, true);
// Create a chirp test signal
let mut signal = fcwt::util::chirp(1000.0, 65536, 0.1, 20.0);
// Compute the fCWT and return a CwtResult<Float>
let result = cwt.cwt(&mut signal);