Error analysis with deconvolution algorithms

Iterative deconvolution algorithms can be used to obtain an estimate of a signal that has been distorted by an impulse response function and corrupted by additive noise. The decision to continue iterating is usually based on some minimum error or convergence rate criterion being satisfied. However, ... View More