DocumentCode
1676446
Title
Prediction of signal characteristics using autoregressive moving average method
Author
Guluyev, G. ; Pashayev, F. ; Pakdel, M. ; Sattarova, U.
Author_Institution
Cybern. Inst., ANAS, Baku, Azerbaijan
fYear
2012
Firstpage
1
Lastpage
3
Abstract
In this paper the autoregressive moving average (ARMA) method is used for forecasting of signal characteristics. The ARMA method is applied to seismoacoustic signals to predict estimates of signal characteristics. The analysis is verified through real signal characteristics.
Keywords
acoustic signal processing; autoregressive moving average processes; geophysical signal processing; seismology; ARMA method; autoregressive moving average method; seismoacoustic signals; signal characteristic forecasting; signal characteristic prediction analysis; Autoregressive Moving Average Method (ARMA); cross-correlation function; noise correlation; noise variance; seismoacoustic signal charcteristics;
fLanguage
English
Publisher
ieee
Conference_Titel
Problems of Cybernetics and Informatics (PCI), 2012 IV International Conference
Conference_Location
Baku
Print_ISBN
978-1-4673-4500-2
Type
conf
DOI
10.1109/ICPCI.2012.6486354
Filename
6486354
Link To Document