Sparsity-Aware Adaptive Algorithms Based on Alternating Optimization and Shrinkage

Rodrigo C. de Lamare, Raimundo Sampaio-Neto
2014 IEEE Signal Processing Letters  
This letter proposes a novel sparsity-aware adaptive filtering scheme and algorithms based on an alternating optimization strategy with shrinkage. The proposed scheme employs a twostage structure that consists of an alternating optimization of a diagonally-structured matrix that speeds up the convergence and an adaptive filter with a shrinkage function that forces the coefficients with small magnitudes to zero. We devise alternating optimization least-mean square (LMS) algorithms for the
more » ... d scheme and analyze its mean-square error. Simulations for a system identification application show that the proposed scheme and algorithms outperform in convergence and tracking existing sparsity-aware algorithms. Index Terms-Adaptive filters, iterative methods, sparse signal processing.
doi:10.1109/lsp.2014.2298116 fatcat:ecc3bkuygvbjdozlkehg6xpaey