@inproceedings{4e2b6190f1c647d3ae538eb36a877691,
title = "Accurate signal recovery in quantized compressed sensing",
abstract = "Compressed sensing (CS) studies the recovery of a high dimensional signal from its low dimensional linear measurements under a sparsity prior. This paper is focused on the CS problem with quantized measurements. An algorithm is proposed based on a Bayesian perspective that treats measurement noises and quantization errors separately and allows data saturation. It is shown to improve the recovery accuracy in comparison with existing approaches by numerical simulations.",
author = "Zai Yang and Lihua Xie and Cishen Zhang",
year = "2012",
language = "英语",
isbn = "9780982443859",
series = "15th International Conference on Information Fusion, FUSION 2012",
pages = "2531--2536",
booktitle = "15th International Conference on Information Fusion, FUSION 2012",
note = "15th International Conference on Information Fusion, FUSION 2012 ; Conference date: 07-09-2012 Through 12-09-2012",
}