Compressive Sensing for Inverse Scattering

Compressive sensing is a new field in signal processing and applied mathematics. It allows one to simultaneously sample and compress signals which are known to have a sparse representation in a known basis or dictionary along with the subsequent recovery by linear programming (requiring polynomial (...

詳細記述

書誌詳細

第一著者:	Marengo, Edwin A. (author)
その他の著者:	Hernández, R. D. (author), Citron, Y. R. (author), Gruber, F. K. (author), Zambrano, M. (author), Lev-Ari, H. (author)
フォーマット:	article
言語:	英語
出版事項:	2008
主題:	inverse scattering signal processing random linear projection applied mathematics compressive measurement sparse representation new field known basis compressive sensing original signal linear programming subsequent recovery compress signal
オンライン･アクセス:	http://ridda2.utp.ac.pa/handle/123456789/2413
タグ:	タグ追加 タグなし, このレコードへの初めてのタグを付けませんか!