@inproceedings{df12c9caca09432f96abb7ca6052d4a0,
title = "The reweighed greedy analysis pursuit algorithm for the cosparse analysis model",
abstract = "Recently, a cosparse analysis model has been introduced as an interesting alternative to the sparse representation synthesis model. This model is focused on zero elements in the analysis representation vector rather than non-zero elements. Hence, finding cosparse solutions is a problem of important significance in signal processing. In this paper, we construct an adaptive weighted matrix in the greedy analysis pursuit algorithm and propose the reweighed greedy analysis pursuit (ReGAP) algorithm for cosparse signal reconstruction with noise. Using a weighted matrix, we fill the gap between greedy and convex relaxation techniques. Theoretical analysis shows that our algorithm is convergent. We estimate the error bound of ReGAP algorithm with cosparse analysis model, and then simulation results demonstrate that our algorithm is feasible and effective.",
keywords = "analysis model, cosparse, greedy analysis pursuit, signal reconstruction, sparse",
author = "Jicheng Li and Zisheng Liu and Wenbo Li",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Conference on Natural Computation, ICNC 2015 ; Conference date: 15-08-2015 Through 17-08-2015",
year = "2016",
month = jan,
day = "8",
doi = "10.1109/ICNC.2015.7378131",
language = "英语",
series = "Proceedings - International Conference on Natural Computation",
publisher = "IEEE Computer Society",
pages = "1018--1022",
editor = "Zheng Xiao and Zhao Tong and Kenli Li and Xingwei Wang and Keqin Li",
booktitle = "2015 11th International Conference on Natural Computation, ICNC 2015",
}