Iteratively reweighted algorithms for compressive sensing

The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was shown empirically that using p minimization with p < 1 can

• Type: Conference
• Year: 2008
• Where: ICASSP
• Authors: Rick Chartrand, Wotao Yin
• Keywords: Compressive Sensing, ICASSP 2008, Signal Processing, Sparse Signals