Adaptive algorithms for sparse echo cancellation

DOI10.1016/j.sigpro.2005.09.015zbMath1163.94366OpenAlexW1997175528MaRDI QIDQ1027330

Patrick A. Naylor, Mike Brookes, Jing-Jing Cui

Publication date: 1 July 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2005.09.015

zbMATH Keywords

adaptive filterssparse system identificationecho cancellation

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items

Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments ⋮ Diffusion sign subband adaptive filtering algorithm with individual weighting factors for distributed estimation ⋮ A family of proportionate normalized subband adaptive filter algorithms ⋮ A class of diffusion proportionate subband adaptive filters for sparse system identification over distributed networks ⋮ Selective partial update and set-membership improved proportionate normalized subband adaptive filter algorithms ⋮ Proportionate normalized subband adaptive filter algorithms for sparse system identification ⋮ A general zero attraction proportionate normalized maximum correntropy criterion algorithm for sparse system identification ⋮ A proportionate normalized maximum correntropy criterion algorithm with correntropy induced metric constraint for identifying sparse systems