SNNLS MATLAB Implementation for Hydrodynamic Size Distribution Estimation from AC Susceptibility

# SNNLS for AC Susceptibility-Based Hydrodynamic Size Estimation Spline-Regularized Non-Negative Least Squares (SNNLS) implementation for hydrodynamic size distribution reconstruction from AC susceptibility data.This repository contains the MATLAB implementation of the Spline-Regularized Non-Negative Least Squares (SNNLS) framework described in: Mohd Mawardi Saari et al.,"Estimation of hydrodynamic size distribution from AC susceptibility: A model-free approach using spline-regularized non-negative least squares",Measurement, 2026. ## Repository Contents- Main File to run the SNNLS function- Synthetic data generator function for AC susceptibility simulation- Implementation of: - SNNLS (Spline-Regularized NNLS) - Classical histogram-based NNLS - Tikhonov-regularized NNLS - Lognormal distribution fitting- Comparison and visualization scripts The provided synthetic data generator enables full reproduction of the algorithmic validation and method comparison presented in the manuscript. ## How to Run Run:MainProgramFile.m ## License MIT License