Compressive sensing

被引:1916
作者
Baraniuk, Richard G. [1 ]
机构
[1] Rice Univ, Houston, TX 77251 USA
基金
美国国家科学基金会;
关键词
D O I
10.1109/MSP.2007.4286571
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Signal acquisition based on compressive sensing can be more efficient than traditional sampling for sparse or compressible signals. This method captures and represents signals at a rate significantly below the Nyquist rate and employs nonadaptive linear projections preserving signal structure. Then, the signal is reconstructed using an optimization technique. The least squares optimization used is inadequate for signal reconstruction, and other types of convex optimization must be invoked.
引用
收藏
页码:118 / +
页数:4
相关论文
共 10 条
[1]  
[Anonymous], 1999, WAVELET TOUR SIGNAL
[2]  
[Anonymous], 2006, P COMP IM 4 SPIE EL
[3]  
Baraniuk R. G., 2007, CONSTRUCTIVE APPROXI
[4]  
Baron D., 2005, DISTRIBUTED COMPRESS
[5]   Robust uncertainty principles:: Exact signal reconstruction from highly incomplete frequency information [J].
Candès, EJ ;
Romberg, J ;
Tao, T .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (02) :489-509
[6]   Compressed sensing [J].
Donoho, DL .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (04) :1289-1306
[7]   Signal reconstruction from noisy random projections [J].
Haupt, Jarvis ;
Nowak, Robert .
IEEE TRANSACTIONS ON INFORMATION THEORY, 2006, 52 (09) :4036-4048
[8]  
Kirolos S., 2006, P IEEE DALL CAS WORK, P71, DOI DOI 10.1109/DCAS.2006.321036
[9]  
Tropp J., 2005, SIGNAL RECOVERY PART
[10]   Sampling signals with finite rate of innovation [J].
Vetterli, M ;
Marziliano, P ;
Blu, T .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (06) :1417-1428