Sparse leaky-LMS algorithm for system identification and its convergence analysis

DOI10.1002/ACS.2428zbMath1337.93093OpenAlexW2122887196MaRDI QIDQ2802055

Mohammad Shukri Salman

Publication date: 22 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2428

zbMATH Keywords

system identificationsparse systemsleaky-LMSZA-LMS

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24) Identification in stochastic control theory (93E12)

Related Items (4)

Low-complexity non-uniform penalized affine projection algorithm for sparse system identification ⋮ Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments ⋮ 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

Cites Work

• Acoustic MIMO signal processing
• Performance Analysis of $l_0$ Norm Constraint Least Mean Square Algorithm
• Partial update LMS algorithms
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