DocumentCode
118536
Title
A Bayesian approach for frequency estimation using TV AR model for ocean acoustics Time-Series
Author
Aunsri, Nattapol ; Hemrungrote, Sirichai
Author_Institution
Sch. of Inf. Technol., Mae Fah Luang Univ., Chiang Rai, Thailand
fYear
2014
fDate
9-12 Dec. 2014
Firstpage
1
Lastpage
4
Abstract
In this paper, we investigate a sequential Bayesian filtering method to obtain estimates of instantaneous frequencies using Time-Varying Autoregressive (TVAR) model for ocean acoustics Time-Series. A particle filter along with a nonlinear model for estimating these frequencies is developed. Simulations demonstrate performance of the method compared to standard periodogram.
Keywords
Bayes methods; acoustic signal processing; autoregressive processes; frequency estimation; nonlinear filters; particle filtering (numerical methods); time series; TVAR model; instantaneous frequency estimation; nonlinear model; ocean acoustic time series; particle filter; sequential Bayesian filtering method; time-varying autoregressive model; Acoustics; Bayes methods; Decision support systems; Filtering; Frequency estimation; Oceans; Time-frequency analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Asia-Pacific Signal and Information Processing Association, 2014 Annual Summit and Conference (APSIPA)
Conference_Location
Siem Reap
Type
conf
DOI
10.1109/APSIPA.2014.7041813
Filename
7041813
Link To Document