2012 | OriginalPaper | Buchkapitel
An Approach to Intelligent Signal Processing
verfasst von : Matthias Wolff, Rüdiger Hoffmann
Erschienen in: Cognitive Behavioural Systems
Verlag: Springer Berlin Heidelberg
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This paper describes an approach to intelligent signal processing. First we propose a general signal model which applies to speech, music, biological, and technical signals. We formulate this model mathematically using a unification of hidden Markov models and finite state machines. Then we name tasks for intelligent signal processing systems and derive a hierarchical architecture which is capable of solving them. We show the close relationship of our approach to cognitive dynamic systems. Finally we give a number of application examples.