Accurate signal recovery in quantized compressed sensing
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...
Saved in:
| Main Authors: | , , |
|---|---|
| 其他作者: | |
| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2014
|
| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/101861 http://hdl.handle.net/10220/19739 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462 |
| 標簽: |
添加標簽
沒有標簽, 成為第一個標記此記錄!
|
| 機構: | Nanyang Technological University |
| 語言: | English |
| id |
sg-ntu-dr.10356-101861 |
|---|---|
| record_format |
dspace |
| spelling |
sg-ntu-dr.10356-1018612019-12-06T20:45:54Z Accurate signal recovery in quantized compressed sensing Yang, Zai Xie, Lihua Zhang, Cishen School of Electrical and Electronic Engineering International Conference on Information Fusion (FUSION) (15th : 2012) DRNTU::Engineering::Electrical and electronic engineering 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. Published version 2014-06-13T03:21:02Z 2019-12-06T20:45:54Z 2014-06-13T03:21:02Z 2019-12-06T20:45:54Z 2012 2012 Conference Paper Yang, Z., Xie, L., & Zhang, C. (2012). Accurate signal recovery in quantized compressed sensing. 2012 15th International Conference on Information Fusion (FUSION), 2531-2536. https://hdl.handle.net/10356/101861 http://hdl.handle.net/10220/19739 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462 en © 2012 International Society of Information Fusion. This paper was published in 2012 15th International Conference on Information Fusion (FUSION) and is made available as an electronic reprint (preprint) with permission of International Society of Information Fusion. The paper can be found at the following official URL: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper is prohibited and is subject to penalties under law. application/pdf |
| institution |
Nanyang Technological University |
| building |
NTU Library |
| country |
Singapore |
| collection |
DR-NTU |
| language |
English |
| topic |
DRNTU::Engineering::Electrical and electronic engineering |
| spellingShingle |
DRNTU::Engineering::Electrical and electronic engineering Yang, Zai Xie, Lihua Zhang, Cishen Accurate signal recovery in quantized compressed sensing |
| description |
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. |
| author2 |
School of Electrical and Electronic Engineering |
| author_facet |
School of Electrical and Electronic Engineering Yang, Zai Xie, Lihua Zhang, Cishen |
| format |
Conference or Workshop Item |
| author |
Yang, Zai Xie, Lihua Zhang, Cishen |
| author_sort |
Yang, Zai |
| title |
Accurate signal recovery in quantized compressed sensing |
| title_short |
Accurate signal recovery in quantized compressed sensing |
| title_full |
Accurate signal recovery in quantized compressed sensing |
| title_fullStr |
Accurate signal recovery in quantized compressed sensing |
| title_full_unstemmed |
Accurate signal recovery in quantized compressed sensing |
| title_sort |
accurate signal recovery in quantized compressed sensing |
| publishDate |
2014 |
| url |
https://hdl.handle.net/10356/101861 http://hdl.handle.net/10220/19739 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6290462 |
| _version_ |
1681041503098503168 |