DocumentCode :
277634
Title :
Knowledge-based approach to signal smoothing
Author :
Abdulrahim, Abdulwahab ; Dobrowiecki, Tadeusz P.
Author_Institution :
Tech. Univ. of Budapest, Hungary
fYear :
1992
fDate :
19-21 Aug 1992
Firstpage :
23
Lastpage :
28
Abstract :
The task of signal smoothing is addressed as a special case of signal processing. Despite the fact that the smoothing methods are based on the analytic signal description and work on the quantitative representation of signals, good choice of a method is far from trivial and is based on the qualitative knowledge about the signal and noise. The authors aim is to help the usage of so called order statistics filters. They represent smoothing knowledge using frames
Keywords :
filtering and prediction theory; knowledge based systems; knowledge representation; signal processing; analytic signal description; frame based representation; frames; noise; order statistics filters; qualitative knowledge; quantitative representation of signals; signal processing; signal smoothing; smoothing knowledge;
fLanguage :
English
Publisher :
iet
Conference_Titel :
Intelligent Systems Engineering, 1992., First International Conference on (Conf. Publ. No. 360)
Conference_Location :
Edinburgh
Print_ISBN :
0-85296-549-4
Type :
conf
Filename :
171912
Link To Document :
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