DocumentCode :
2265317
Title :
Detection based on an iterated function system model
Author :
Mazel, David S. ; Passamante, Anthony
Author_Institution :
IBM Federal Syst. Co., Manassas, VA, USA
fYear :
1993
fDate :
16-18 Aug 1993
Firstpage :
974
Abstract :
Iterated Function Systems (IFSs) are currently being used for computer graphics and data compression. In this paper, we expand the use of IFSs to the detection of data. We show that an IFS model of data yields a template of the data that, when transformed with an affine map, enhances noisy data and aids in detection. Applications to chaotic systems data and speech data are given
Keywords :
chaos; data compression; data structures; fractals; interpolation; iterative methods; signal detection; speech enhancement; affine map; chaotic systems data; data detection; data template; iterated function system model; noisy data; speech data; Application software; Artificial intelligence; Chaos; Computer graphics; Data compression; Drives; Fractals; Interpolation; Speech enhancement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems, 1993., Proceedings of the 36th Midwest Symposium on
Conference_Location :
Detroit, MI
Print_ISBN :
0-7803-1760-2
Type :
conf
DOI :
10.1109/MWSCAS.1993.343233
Filename :
343233
Link To Document :
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