Lorentzian based iterative hard thresholding for compressed sensing

In this paper we propose a robust iterative hard thresolding (IHT) algorithm for reconstructing sparse signals in the presence of impulsive noise. To address this problem, we use a Lorentzian cost function instead of the

• Type: Journal
• Year: 2011
• Where: ICASSP
• Authors: Rafael E. Carrillo, Kenneth E. Barner
• Keywords: Algorithm, Cost Function, ICASSP 2011, Signal Processing, Traditional Iht Algorithm