Open AccessDeterministic bipolar measurement matrices with flexible sizes from Legendre sequence
Author(s) -
Zhang Guohua,
Mathar Rudolf,
Zhou Quan
Publication year - 2016
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2016.0765
Subject(s) - legendre polynomials , sequence (biology) , gaussian , compressed sensing , algorithm , construct (python library) , mathematics , coherence (philosophical gambling strategy) , legendre wavelet , computer science , physics , wavelet , mathematical analysis , statistics , artificial intelligence , chemistry , wavelet transform , quantum mechanics , discrete wavelet transform , biochemistry , programming language
A deterministic method to construct bipolar measurement matrices for compressed sensing is proposed based on Legendre sequences. The novel matrices have remarkably flexible measurement sizes, relatively low coherence and show empirically good performance compared with Gaussian matrices.