DocumentCode
2058507
Title
Conditional prior based lmmse estimation of sparse signals
Author
Sundin, Martin ; Jansson, Magnus ; Chatterjee, Saptarshi
Author_Institution
ACCESS Linnaeus Center, KTH R. Inst. of Technol., Stockholm, Sweden
fYear
2013
fDate
9-13 Sept. 2013
Firstpage
1
Lastpage
5
Abstract
We derive a linear minimum mean square error estimator for sparse vector estimation from an underdetermined set of linear equations. The derivation of the estimator uses a prior distribution conditioned on the support set of the underlying sparse vector. The estimator is used in the architecture of the standard orthogonal matching pursuit algorithm to achieve a better performance.
Keywords
compressed sensing; iterative methods; least mean squares methods; LMMSE estimation; compressed sensing; conditional prior distribution; linear equation; linear minimum mean square error estimator; orthogonal matching pursuit algorithm; sparse signal; sparse vector estimation; Abstracts; Estimation; Radio access networks; Signal to noise ratio; Standards; Vectors; Bayesian estimation; compressed sensing; minimum mean square error estimation; sparse estimation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2013 Proceedings of the 21st European
Conference_Location
Marrakech
Type
conf
Filename
6811629
Link To Document