Model estimations biased by truncated expansions: Possible artifacts in seismic tomography

Jeannot Trampert*, Roel Snieder

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

In most linear imaging problems, where the model to be sought is expanded in a set of basis functions, it is common practice to truncate the set at a certain (arbitrary) level. The solution then depends on the chosen parameterization, and neglected basis functions may leak into the solution to produce artifacts in the retrieved model. An unbiased estimate of the coefficients of the true model may be obtained in the chosen finite basis set; here, a method to suppress leakage is illustrated on an example of global seismic tomography.

Original languageEnglish
Pages (from-to)1257-1260
Number of pages4
JournalScience
Volume271
Issue number5253
DOIs
Publication statusPublished - 1 Mar 1996

Fingerprint

Dive into the research topics of 'Model estimations biased by truncated expansions: Possible artifacts in seismic tomography'. Together they form a unique fingerprint.

Cite this