Nonlinear microwave imaging using Levenberg-Marquardt method with iterative shrinkage thresholding

Abdulla Desmal, Hakan Bagci

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Scopus citations

Abstract

Development of microwave imaging methods applicable in sparse investigation domains is becoming a research focus in computational electromagnetics (D.W. Winters and S.C. Hagness, IEEE Trans. Antennas Propag., 58(1), 145-154, 2010). This is simply due to the fact that sparse/sparsified domains naturally exist in many applications including remote sensing, medical imaging, crack detection, hydrocarbon reservoir exploration, and see-through-the-wall imaging.
Original languageEnglish (US)
Title of host publication2014 USNC-URSI Radio Science Meeting (Joint with AP-S Symposium)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781479937462
DOIs
StatePublished - Jul 2014

Fingerprint Dive into the research topics of 'Nonlinear microwave imaging using Levenberg-Marquardt method with iterative shrinkage thresholding'. Together they form a unique fingerprint.

Cite this