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 :
بازگشت