compare_methods

Comparing similar signal-processing methods involves analyzing their technical and physical differences across averaging, filtering, timing, and domain assumptions. This Skill generates a pedagogical notebook section with narrative and visuals, applying synthetic signals to reveal implementation distinctions in methods like gwpy and gwexpy.

The best way to visually contrast filtering methods is by creating a side-by-side comparison notebook section using a synthetic signal. This approach plots the results of different methods for direct visual contrast, providing structured, pedagogical analyses suitable for teaching or auditing implementations.

Yes, you can use this to audit timing differences across signal-processing code repositories. It performs cross-method analysis within repositories and notebooks, specifically focusing on timing, averaging, filtering, and domain assumptions to reveal technical and physical differences between implementations.

Yes, you need source code access and proper documentation of the methods to analyze their differences. This access is required to produce reproducible comparisons and generate a structured, pedagogical notebook section that accurately reflects the underlying technical and physical implementations.