DocumentCode
2850146
Title
An improved compressive sensing reconstruction algorithm using linear/non-linear mapping
Author
Zhang, Xinyu ; Wen, Jiangtao ; Han, Yuxing ; Villasenor, John
Author_Institution
Tsinghua Univ., Beijing, China
fYear
2011
fDate
6-11 Feb. 2011
Firstpage
1
Lastpage
7
Abstract
We describe an improved algorithm for signal reconstruction based on the Orthogonal Matching Pursuit (OMP) algorithm. In contrast with the traditional implementation of OMP in compressive sensing (CS) we introduce a preprocessing step that converts the signal into a distribution that can be more easily reconstructed. This preprocessing introduces negligible additional complexity, but enables a significant performance improvement in the reconstruction accuracy.
Keywords
iterative methods; signal reconstruction; OMP algorithm; improved compressive sensing reconstruction algorithm; linear mapping; nonlinear mapping; orthogonal matching pursuit algorithm; reconstruction accuracy; signal reconstruction; Algorithm design and analysis; Approximation error; Coherence; Image reconstruction; Matching pursuit algorithms; Reconstruction algorithms; Signal to noise ratio;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and Applications Workshop (ITA), 2011
Conference_Location
La Jolla, CA
Print_ISBN
978-1-4577-0360-7
Type
conf
DOI
10.1109/ITA.2011.5743577
Filename
5743577
Link To Document