DocumentCode
418367
Title
Pattern detection in noisy signals
Author
Christen, M. ; Kern, A. ; van der Vyver, J.-J. ; Stoop, R.
Author_Institution
Inst. of Neuroinf., Zurich Univ., Switzerland
Volume
4
fYear
2004
fDate
23-26 May 2004
Abstract
Methods for detecting patterns in noisy signals are often template based. As a consequence, a priori selections of potential pattern structures have to be made. To avoid this shortcoming, we propose a novel statistical approach based on the correlation integral. The method significantly reduces the set of appropriate templates, and also works under noisy conditions.
Keywords
correlation methods; noise; pattern recognition; signal detection; statistical analysis; correlation integral; noisy signal; pattern detection; potential pattern structure; statistical analysis; template based method; template reduction; Biological information theory; Biological system modeling; Circuit noise; Electronic circuits; Information processing; Intersymbol interference; Neurons; Noise reduction; Parallel processing; Signal detection;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 2004. ISCAS '04. Proceedings of the 2004 International Symposium on
Print_ISBN
0-7803-8251-X
Type
conf
DOI
10.1109/ISCAS.2004.1329092
Filename
1329092
Link To Document