A deceptively simple signal processing method allows researchers to quantify complex and irregular patterns of high frequency neuronal activity in whole brain at single-neuron resolution by ...

Abstract: The deconvolution algorithm is effective in eliminating interference components, but it is prone to being influenced by impulse interference, resulting in suboptimal performance in early ...

Abstract: Nonblind image deconvolution/deblurring aims at restoring sharp images from their noisy blurred versions using an associated blur kernel with potential ...

This repository explores the problem of image blurring and deblurring. It includes a Jupyter Notebook and a Streamlit web application, enabling users to interactively adjust regularization parameters ...

A comprehensive web-based application for the deconvolution and analysis of X-ray Photoelectron Spectroscopy (XPS) spectra. This tool provides researchers with an intuitive interface for peak fitting, ...