@inproceedings{ccbc40ce5c0d43198a9f20a502b85a65,
title = "Hybrid greedy pursuit",
abstract = "For constructing the support set of a sparse vector in the standard compressive sensing framework, we develop a hybrid greedy pursuit algorithm that combines the advantages of serial and parallel atom selection strategies. In an iterative framework, the hybrid algorithm uses a joint sparsity information extracted from the independent use of serial and parallel greedy pursuit algorithms. Through experimental evaluations, the hybrid algorithm is shown to provide a significant improvement for the support set recovery performance.",
author = "Saikat Chatterjee and Dennis Sundman and Mikko Vehkaper{\"a} and Mikael Skoglund",
year = "2011",
month = dec,
day = "1",
language = "English",
series = "European Signal Processing Conference",
publisher = "IEEE Institute of Electrical and Electronic Engineers",
pages = "343--347",
booktitle = "19th European Signal Processing Conference, EUSIPCO 2011",
address = "United States",
note = "19th European Signal Processing Conference, EUSIPCO 2011 ; Conference date: 29-08-2011 Through 02-09-2011",
}