Error analysis with deconvolution algorithms
Paul Benjamin Crilly · IEEE Transactions on Instrumentation and Measurement · 1993
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, in some classes of systems, there are pitfalls with respect to the error calculation that must be understood. One of these pitfalls is examined.>