Signal Conditioning System for Analog Processing of Dynamic Light Scattering Signals

This dataset accompanies the article \Signal Conditioning System for Analog Processing of Dynamic Light Scattering Signals\, and contains the processed data and Python scripts used for signal analysis. The data includes voltage signals generated by a Maxwell demon-based random signal generator and acquired through a conditioning system designed for breast tissue analysis using Dynamic Light Scattering (DLS). The dataset supports key stages of the processing pipeline, including histogram generation, Gaussian fitting, power spectral analysis, and digital notch filtering for 60 Hz noise reduction. Figures in the corresponding paper were generated from these scripts, which also include functions for entropy and signal-to-noise ratio (SNR) calculations. This resource facilitates reproducibility and provides a reference implementation for future studies involving analog signal conditioning and biomedical signal analysis.