Morlet Continuous Wavelet Transform (CWT) Analysis

This release introduces an analysis of the temporal evolution of spectral signatures in fluctuating flow fields using the Continuous Wavelet Transform (CWT). The CWT is employed to decompose signals into highly localized wavelets, facilitating detailed examination in both the time and frequency domains. This approach enhances the understanding of flow dynamics and kinetic energy modulation, particularly in turbulent flow, shock wave oscillation signals, or any other flow dynamic signals. This version provides a robust foundation for further exploration of spectral analysis in fluid mechanics and turbulence studies.

Key Features:

• Flexible Input Options: Users can specify the number of cycles (n_cycles) and the frequency width (fw) as input parameters for the wavelet analysis, as a single value or list of values enabling more control over the wavelet's time-frequency localization and spectral resolution.
• Advanced Plotting Capabilities: This release includes built-in functions for visualizing CWT results. Plots are generated to show both time and frequency domain evolution of the signal, making it easier to interpret spectral signatures and dynamic behavior in complex flow fields.
• Comprehensive Documentation: Detailed and user-friendly documentation is provided via Sphinx.

  <p align="center"> <img src="https://github.com/user-attachments/assets/bdee0474-9158-4e8d-be40-42437d3a142d" alt="drawing" width="500"/>

Full Changelog: https://github.com/EngAhmedHady/Morlet-signal-analysis/commits/v1.0