Low-complexity non-uniform penalized affine projection algorithm for sparse system identification

DOI10.1007/S00034-015-0132-3zbMath1346.93124OpenAlexW1017317081MaRDI QIDQ308503

Shigang Wang, Yingsong Li, Chao Zhu Zhang

Publication date: 6 September 2016

Published in: Circuits, Systems, and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00034-015-0132-3

zbMATH Keywords

adaptive filteringaffine projection algorithmnorm penaltysparse system identificationzero attracting

Mathematics Subject Classification ID

System identification (93B30) Software, source code, etc. for problems pertaining to systems and control theory (93-04)

Related Items (4)

Robust normalized subband adaptive filter algorithm against impulsive noises and noisy inputs ⋮ A general zero attraction proportionate normalized maximum correntropy criterion algorithm for sparse system identification ⋮ Norm penalized joint-optimization NLMS algorithms for broadband sparse adaptive channel estimation ⋮ A proportionate normalized maximum correntropy criterion algorithm with correntropy induced metric constraint for identifying sparse systems

Cites Work

• Unnamed Item
• Unnamed Item
• Sparse leaky-LMS algorithm for system identification and its convergence analysis
• Adaptive Filtering
• Compressed sensing

This page was built for publication: Low-complexity non-uniform penalized affine projection algorithm for sparse system identification