New Improved Algorithms for Compressive Sensing Based on $\ell_{p}$ Norm
IEEE Transactions on Circuits and Systems II: Express Briefs（2014）
Abstract
A new algorithm for the reconstruction of sparse signals, which is referred to as the ℓp-regularized least squares ( ℓp-RLS) algorithm, is proposed. The new algorithm is based on the minimization of a smoothed ℓp-norm regularized square error with p <; 1 . It uses a conjugate-gradient (CG) optimization method in a sequential minimization strategy that involves a two-parameter continuation techniqu...
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Key words
Approximation algorithms,Signal processing algorithms,Noise measurement,Approximation methods,Minimization,Optimization,Noise
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