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Sparse recovery on sphere via probabilistic compressed sensing

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

Description

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
URI: http://hdl.handle.net/1885/22267
Source: IEEE Workshop on Statistical Signal Processing Proceedings
DOI: 10.1109/SSP.2014.6884655

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