This page contains algorithm for linear inversion.
On tuning of atmospheric inverse methods - used algorithms
These linear inverse algorithms are studied in paper submitted to GMD in paper titled "On tuning of atmospheric inverse methods: Comparison on ETEX and Chernobyl datasets using FLEXPART v8.1 and v10.3" and can be downloaded here.
Multi-nuclide source term estimation algorithm
The algorithm published in the QJRMS as the paper "Source term estimation of multi-specie atmospheric release of radiation from gamma dose rates" can be downloaded here.
Least Square with Adaptive Prior Covariance (LS-APC) algorithm
This algorithm is published in the GMD in paper titled "LS-APC v1.0: a tuning-free method for the linear inverse problem and its application to source-term determination" and can be downloaded here.
Sparse Bayesian Learning methods for high-dimensional data
A set of algorithms (presented at ICIPE 2017) in paper "Comparison of sparse Bayesian regularization methods for high-dimensional inverse problem" can be downloaded here.
An Adaptive Correlated Image Prior for Image Restoration Problems
Matlab implementation of the proposed ACP algorithm and other tested VB algorithms in the IEEE Signal Processing Letters paper "An Adaptive Correlated Image Prior for Image Restoration Problems" can be downloaded here