Sparse signal recovery in a transform domain

TitleSparse signal recovery in a transform domain
Publication TypeThesis
Year of Publication2008
AuthorsEvgeniy Lebed
Month08
UniversityThe University of British Columbia
CityVancouver
Thesis Typemasters
KeywordsMSc
Abstract

The ability to efficiently and sparsely represent seismic data is becoming an increasingly important problem in geophysics. Over the last thirty years many transforms such as wavelets, curvelets, contourlets, surfacelets, shearlets, and many other types of x-lets have been developed. Such transform were leveraged to resolve this issue of sparse representations. In this work we compare the properties of four of these commonly used transforms, namely the shift-invariant wavelets, complex wavelets, curvelets and surfacelets. We also explore the performance of these transforms for the problem of recovering seismic wavefields from incomplete measurements.

Notes

(MSc)

URLhttps://www.slim.eos.ubc.ca/Publications/Public/Thesis/2008/lebed08THssr.pdf
Citation Keylebed08THssr