Title :
Filter categories preserving desirable signal characteristics
Author :
Pearson, Ronald K.
Author_Institution :
Institut für Automatik, ETH Zürich, CH-8092 Zürich, Switzerland
Abstract :
This paper considers the problem of characterizing nonlinear digital filters via their qualitative input-output behavior. For example, it is known that (non-causal) symmetric median filters preserve arbitrary monotone sequences. Behavioral characterizations ask converse questions like: what can be said about the class of all filters F that preserve monotonicity? The primary point of this paper is to illustrate that category theory provides a natural framework for examining such questions.
Conference_Titel :
Signal Processing Conference, 2000 10th European
Conference_Location :
Tampere, Finland
Print_ISBN :
978-952-1504-43-3