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ICASSP
2011
IEEE

Iterative hard thresholding for compressed sensing with partially known support

7 years 9 months ago
Iterative hard thresholding for compressed sensing with partially known support
Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS. In this paper, we extend the ideas of these works to modify the iterative hard thresholding (IHT) algorithm to incorporate known support in the recovery process. We present a theoretical analysis that shows that including prior support information relaxes the conditions for stable reconstruction. Numerical results show that the IHT modification improves performance, thereby needing fewer samples to yield an approximate reconstruction.
Rafael E. Carrillo, Luisa F. Polania, Kenneth E. B
Added 21 Aug 2011
Updated 21 Aug 2011
Type Journal
Year 2011
Where ICASSP
Authors Rafael E. Carrillo, Luisa F. Polania, Kenneth E. Barner
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