scientific-spectral-signal

What problem does it solve?

This skill provides a standard pipeline for preprocessing and analyzing spectral data (Raman, IR, UV-Vis) and biosignals (ECG, EEG), addressing noise, baseline drift, peak detection, and spectral power analysis.

Core Features & Use Cases

• Baseline correction, denoising, and normalization for spectra and time-series signals.
• Peak detection and quantification in spectra; band power analysis for EEG/ECG signals.
• Use Case: Researchers can preprocess a Raman spectrum or EEG recording, extract features (peaks, band powers), and compare across samples.

Quick Start

Run a basic spectral preprocessing pipeline on a sample dataset to baseline-correct, smooth, normalize, and detect peaks.