Construction of sensing matrices based on Rudin-Shapiropolynomials

For compressed sensing (CS) applications, it is signi cant to construct deterministic mea-surement matrices with good sparse recovery performance. In this article we present amethod to obtain a class sensing matrices, by using Rudin-Shapiro polynomials.

کلیدواژه ها:

Rudin-Shapiro polynomials ، Equiangular tight frames ، compressive sensing ، sparserecovery ، Steiner system