Decoding as a linear ill-posed problem: The entropy minimization approach

The problem of decoding can be thought of as consisting of solving an ill-posed, linear inverse problem with noisy data and box constraints upon the unknowns. Specificially, we aimed to solve $\bA\bx+\be=\by,$ where $\bA$ is a matrix with positive entries and $\by$ is a vector with positive entries....