A calibration system and perturbation analysis for the Modulated Wideband Converter
暂无分享,去创建一个
[1] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[2] Michael Elad,et al. Stable recovery of sparse overcomplete representations in the presence of noise , 2006, IEEE Transactions on Information Theory.
[3] Joel A. Tropp,et al. Just relax: convex programming methods for identifying sparse signals in noise , 2006, IEEE Transactions on Information Theory.
[4] E. Candès. The restricted isometry property and its implications for compressed sensing , 2008 .
[5] Yonina C. Eldar,et al. Reduce and Boost: Recovering Arbitrary Sets of Jointly Sparse Vectors , 2008, IEEE Transactions on Signal Processing.
[6] Yonina C. Eldar,et al. Xampling--Part I: Practice , 2009, ArXiv.
[7] Thomas Strohmer,et al. General Deviants: An Analysis of Perturbations in Compressed Sensing , 2009, IEEE Journal of Selected Topics in Signal Processing.
[8] Yonina C. Eldar,et al. From Theory to Practice: Sub-Nyquist Sampling of Sparse Wideband Analog Signals , 2009, IEEE Journal of Selected Topics in Signal Processing.
[9] Yonina C. Eldar,et al. Xampling: Analog Data Compression , 2010, 2010 Data Compression Conference.
[10] Yonina C. Eldar,et al. Xampling: Analog to digital at sub-Nyquist rates , 2009, IET Circuits Devices Syst..