Paper Info
Title
An approach to intelligent signal processing
Abstract
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.
Year
DOI
Venue
2011
10.1007/978-3-642-34584-5_1
COST 2102 Training School
Keywords
Field
DocType
hierarchical architecture,finite state machine,close relationship,hidden markov model,intelligent signal processing system,general signal model,intelligent signal processing,technical signal,dynamic system,application example
Signal processing,Multidimensional signal processing,Signal,Computer science,Unification,Finite-state machine,Artificial intelligence,Audio signal processing,Hidden Markov model,Dynamical system
Conference
Citations 
PageRank 
References 
0
0.34
21
Authors
2
Name
Order
Citations
PageRank
Matthias Wolff16814.17
Rüdiger Hoffmann210526.70