Thumbnail
Access Restriction
Open

Author Subramanian, Sushil
Source arXiv.org
Content type Text
File Format PDF
Date of Submission 2010-02-12
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Natural sciences & mathematics ♦ Mathematics ♦ Probabilities & applied mathematics
Subject Keyword Statistics - Applications ♦ Computer Science - Information Theory ♦ cs ♦ math ♦ stat
Abstract We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed sensing. This method shows some improvements over standard algorithms for sparse channel estimation such as matching pursuit, iterative detection and least squares.
Educational Use Research
Learning Resource Type Article
Page Count 10


Open content in new tab

   Open content in new tab