Title :
Photonics-assisted compressive sensing for sparse signal acquisition
Author :
Hao Chi;Ying Chen;Tao Jin;Xiaofeng Jin;Shilie Zheng;Xianmin Zhang
Author_Institution :
Department of Information Science & Electronic Engineering, Zhejiang University, Hangzhou, 310027 China
fDate :
6/1/2015 12:00:00 AM
Abstract :
Compressive sensing (CS) is a novel technology for sparse signal acquisition with sub-Nyquist sampling rate but with relative high resolution. Photonics-assisted CS has attracted much attention recently due the benefit of wide bandwidth provided by photonics. This paper discusses the approaches to realizing photonics-assisted CS.
Keywords :
"Photonics","Optical mixing","Optical filters","Yttrium","Optimized production technology","Compressed sensing","Microwave filters"
Conference_Titel :
Opto-Electronics and Communications Conference (OECC), 2015
Electronic_ISBN :
2166-8892
DOI :
10.1109/OECC.2015.7340102
