Skip navigation
Skip navigation

Sparse recovery on sphere via probabilistic compressed sensing

Alem, Yibeltal; Chae, Daniel H; Salehin, S.M.Akramus


It is difficult to determine whether or not the restricted isometry property (RIP) holds when measurements are taken on a given order. Hence, a probabilistic and RIPless compressed sensing that requires weaker and simpler conditions was recently developed. However, in unbounded orthonormal systems such as spherical harmonics, this theory on its own does not yield an optimum bound on the minimum number of required measurements. This is primarily due to the coherence of spherical harmonics...[Show more]

CollectionsANU Research Publications
Date published: 2014
Type: Conference paper
Source: IEEE Workshop on Statistical Signal Processing Proceedings
DOI: 10.1109/SSP.2014.6884655


File Description SizeFormat Image
01_Alem_Sparse_recovery_on_sphere_via_2014.pdf138.95 kBAdobe PDF    Request a copy

Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  12 November 2018/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator