@inproceedings{3b52e10b28854e67873098ac62d8a23b,
title = "An improved RIP-based performance guarantee for sparse signal recovery via orthogonal matching pursuit",
abstract = "A sufficient condition reported very recently for perfect recovery of a K-sparse vector via orthogonal matching pursuit in K iterations is that the restricted isometry constant of the sensing matrix satisfies δK+1 < 1/(√K + 1). By exploiting a 'near orthogonality' condition specified in terms of the achievable angles between two orthogonal sparse vectors upon compression, this paper shows that the requirement on δK+1 can be further relaxed to δk+1 < √4k+1 - 1\2K. This result thus narrows the gap between the so far best known bound and the ultimate performance guarantee δK+1 < 1/√K that is conjectured by Dai and Milenkovic in 2009.",
keywords = "Compressive sensing, orthogonal matching pursuit, restricted isometry constant (RIC), restricted isometry property (RIP)",
author = "Chang, {Ling Hua} and Jwo-Yuh Wu",
year = "2014",
month = jan,
day = "1",
doi = "10.1109/ISCCSP.2014.6877808",
language = "English",
isbn = "9781479928903",
series = "ISCCSP 2014 - 2014 6th International Symposium on Communications, Control and Signal Processing, Proceedings",
publisher = "IEEE Computer Society",
pages = "28--31",
booktitle = "ISCCSP 2014 - 2014 6th International Symposium on Communications, Control and Signal Processing, Proceedings",
address = "美國",
note = "6th International Symposium on Communications, Control and Signal Processing, ISCCSP 2014 ; Conference date: 21-05-2014 Through 23-05-2014",
}