Fault detection in stack filter circuits based on sample selection probabilities
Imed Ben Dhaou, David Akopian, Pauli Kuosmanen, Jaakko T. Astola · 2002
Many of the signal and image processing problems concern the suppression of the noise which is non-Gaussian and non-additive. Stack filters are nonlinear filters which are often successfully used for this kind of noise cancellation. A fault detection method is proposed for stack filters. The core of the method is the sample selection probability vectors of stack filters. A simple implementation for fault diagnosis is derived based on this notion.