Ph.D. research on transdermal alcohol content

A compilation of some basic and complicated Denoising & Deblurring algorithms that works on images with unknown noise and blur

Reconstructing dosimetric images using a deconvoluted physical model

Corso "Modelli di sistemi biologici" @UniPv

Inverse Problems Project: Deconvolution of a Sparse Signal - 3rd year Electronics Engineering and Signal Processing at INP-ENSEEIHT

Algorithms for edge preserving smoothing based on the Mumford-Shah model

Code to analyze calcium imaging data in Algamal et al. 2022, doi: https://doi.org/10.1101/2022.04.27.489759

De-Convolution of images with VAMP algorithm (based on a Bayesian approach)

modeling autonomous guided vehicle using MATLAB Simulink. deterministic and stochastic system identification

A modified version of the historical MATLAB code MELT additionally enabling tail-fitting on lifetime spectra consisting of distributed characteristic lifetimes using Maximum Entropy for optimization

ThermoGravimetric Analysis (TGA) helps in understanding and optimising pyrolysis process.

Denoising, Impaiting & Deconvolution with matlab

MATLAB code for "Luminosity rectified blind Richardson-Lucy deconvolution for single retinal image restoration"

Signal Processing Toolbox for Calcium Imaging Data

Fast convolution and deconvolution functions using Fast Fourier Transform (FFT)

Plug-and-Play ADMM scheme based on an adaptive denoiser using the Schroedinger equation's solutions of quantum physics.

Deconvolution of transcriptome through Immune Component Analysis

Source code of SACD(Super-resolution with Auto-Correlation two-step Deconvolution)

A Physical Model of Non-stationary Blur in Ultrasound Imaging

You will learn how to recover a motion blur image by Wiener filter