An asymptotic existence result on compressed sensing matrices

preprint2015arXivOpen access

Abstract

For any rational number hh and all sufficiently large nn we give a deterministic construction for an n×⌊hn⌋n\times \lfloor hn\rfloor compressed sensing matrix with (ℓ1,t)(\ell_1,t)-recoverability where t=O(n)t=O(\sqrt{n}). Our method uses pairwise balanced designs and complex Hadamard matrices in the construction of εε-equiangular frames, which we introduce as a generalisation of equiangular tight frames. The method is general and produces good compressed sensing matrices from any appropriately chosen pairwise balanced design. The (ℓ1,t)(\ell_1,t)-recoverability performance is specified as a simple function of the parameters of the design. To obtain our asymptotic existence result we prove new results on the existence of pairwise balanced designs in which the numbers of blocks of each size are specified.

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