DocumentCode
2733300
Title
A comparative evaluation of various methods for detection of small spikes in data
Author
Das, M. ; Hunt, T.
Author_Institution
Dept. of Electr. & Syst. Eng., Oakland Univ., Rochester, MI, USA
fYear
1998
fDate
9-12 Aug 1998
Firstpage
510
Lastpage
513
Abstract
The detection of relatively large spikes in data can be easily handled using common outlier detection techniques, but that of the smaller ones becomes a non-trivial task because of their inconspicuous nature. One has to utilize various signal enhancement, processing, and thresholding techniques in order achieve a 100% detection accuracy and a low false alarm rate. Seven different spike detection techniques are studied and compared here. Experimental results are presented in details
Keywords
signal detection; time-domain analysis; detection accuracy; false alarm rate; inconspicuous nature; signal enhancement; spike detection; thresholding techniques; Data engineering; Data mining; Filtering algorithms; Finite impulse response filter; Frequency; Matched filters; Signal processing; Signal processing algorithms; Systems engineering and theory; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1998. Proceedings. 1998 Midwest Symposium on
Conference_Location
Notre Dame, IN
Print_ISBN
0-8186-8914-5
Type
conf
DOI
10.1109/MWSCAS.1998.759542
Filename
759542
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