By Topic

Multiple phase detection and parameter estimation for processing seismic array data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Pei-Jung Chung ; Dept. of Electr. Eng. & Inf. Sci., Ruhr-Univ., Bochum, Germany ; Jost, M.L. ; Bohme, J.F.

A broad-band maximum likelihood method is presented for detection of and parameter extraction from seismic events using wideband data recorded by an array of seismic stations. The statistical characteristics of finite Fourier transformed data motivate the use of approximate maximum likelihood (ML) methods which allow simultaneous detection and wave parameter estimation. The detection strategy based on the likelihood ratio can not only indicate the presence of a seismic event but can also detect different phases of seismic events arriving within a time interval of interest. The corresponding azimuths and apparent velocities of the phases are simultaneously estimated by optimization of the likelihood function over parameters of interest. The potential of the wideband ML method is demonstrated on GERESS data and compared to conventional f-k analysis showing advantages of the former in detection and resolution

Published in:

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on  (Volume:5 )

Date of Conference: