Title :
A Reed-Solomon Code Based Measurement Matrix with Small Coherence
Author :
Mohades, M.M. ; Mohades, A. ; Tadaion, Aliakbar
Author_Institution :
ECE Dept., Yazd Univ., Yazd, Iran
Abstract :
In this letter, we construct a class of deterministic measurement matrices which are asymptotically optimal. For this purpose, we first apply the tensor product over the Reed Solomon (R-S) generator matrix to produce a new one; then employing this generator matrix, we construct a measurement matrix. If the R-S code is defined on BBFq, then the resulting measurement matrices are of dimensions q2 ×q3, where q is an arbitrary prime power and its coherence would be 1/q, which is desirable for compressive sampling. We also illustrate the effectiveness of our proposed matrices in compressed sensing with some simulation examples.
Keywords :
Reed-Solomon codes; compressed sensing; matrix algebra; tensors; R-S generator matrix; Reed-Solomon code based measurement matrix; arbitrary prime power; compressed sensing; compressive sampling; deterministic measurement matrices; tensor product; Coherence; Equations; Generators; Reed-Solomon codes; Sparse matrices; Tensile stress; Vectors; Coherence; compressed sensing; measurement matrix; reed-solomon code; tensor product;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2014.2314281