LMS-based variable step-size algorithms: a unified analysis approach

DOI10.1007/s13369-017-2453-yzbMath1455.65228arXiv1501.02487OpenAlexW3099062643MaRDI QIDQ1640456

Muhammad Omer Bin Saeed

Publication date: 14 June 2018

Published in: Arabian Journal for Science and Engineering (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1501.02487

zbMATH Keywords

variable step-sizesteady-state analysisleast-mean-square algorithmsmean-square analysis

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11)

Cites Work

• New gradient-based variable step size LMS algorithms
• Convergence and steady-state analysis of a variable step-size NLMS algorithm
• A noise resilient variable step-size LMS algorithm
• Variable step-size LMS algorithm with a quotient form
• A novel kurtosis driven variable step-size adaptive algorithm
• Simple and robust analytically derived variable step-size least mean squares algorithm for channel estimation
• A noise-constrained algorithm for estimation over distributed networks
• A variable step size LMS algorithm
• A stochastic gradient adaptive filter with gradient adaptive step size
• Exact Performance Analysis of the $\epsilon$-NLMS Algorithm for Colored Circular Gaussian Inputs