fCWT
A highly optimized C++ library for fast continuous wavelet transform calculations in C++, Python, and MATLAB.
What is fCWT?
fCWT is a highly optimized library for computing the continuous wavelet transform (CWT) with exceptional speed and accuracy. It solves the problem of slow time-frequency analysis in scientific and engineering applications by providing a C++-based implementation that is 34-120x faster than competing algorithms. The library supports C++, Python, and MATLAB interfaces for broad usability.
Researchers, engineers, and data scientists working with time-frequency analysis in fields like audio processing, vibration analysis, neurophysiology, and any domain requiring real-time or high-performance signal processing.
Developers choose fCWT for its unmatched speed, real-time capabilities up to 200kHz, and high-resolution output without wavelet estimation compromises. Its multi-language support and ease of integration make it a versatile tool for accelerating CWT computations across different platforms.
Overview
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Use Cases
Best For
- Real-time audio and speech signal analysis
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