DocumentCode
1743342
Title
AR-based method for change detection using dynamic cumulative sum
Author
El Falou, Wassim ; Khali, Mohamad ; Duchene, Jacques
Author_Institution
Fac. of Eng., Lebanese Univ., Beirut, Lebanon
Volume
1
fYear
2000
fDate
2000
Firstpage
157
Abstract
In this paper we propose a new method of signal detection when the parameters of the hypotheses to be detected are unknown. Detection method is based on dynamic cumulative sum of the local generalized likelihood ratios associated with Autoregressive (AR) modeling
Keywords
autoregressive processes; signal detection; autoregressive modeling; change detection; dynamic cumulative sum; local generalized likelihood ratio; sequential detection; signal detection; Band pass filters; Detection algorithms; Distributed control; Event detection; Frequency; Signal detection; Signal processing; Signal to noise ratio; Technological innovation; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on
Conference_Location
Jounieh
Print_ISBN
0-7803-6542-9
Type
conf
DOI
10.1109/ICECS.2000.911507
Filename
911507
Link To Document