Adaptive signal processing
Adaptive filter theory
Iterative Methods for Sparse Linear Systems
Iterative Methods for Sparse Linear Systems
Adaptive filters viewed as iterative linear equation solvers
NAA'04 Proceedings of the Third international conference on Numerical Analysis and its Applications
Convergence analysis of the binormalized data-reusing LMS algorithm
IEEE Transactions on Signal Processing
Adaptive filtering in subbands using a weighted criterion
IEEE Transactions on Signal Processing
Mean-square performance of a family of affine projection algorithms
IEEE Transactions on Signal Processing
A new approach to subband adaptive filtering
IEEE Transactions on Signal Processing
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Employing a recently introduced framework within which a large number of classical and modern adaptive filter algorithms can be viewed as special cases, we extend this framework to cover block normalized LMS (BNLMS) and normalized data reusing LMS (NDRLMS) adaptive filter algorithms. Accordingly, we develop a generic variable step-size adaptive filter. Variable step-size normalized LMS (VSSNLMS) and VSS affine projection algorithms (VSSAPA) are particular examples of adaptive algorithms covered by this generic variable step-size adaptive filter. In this paper we introduce two new VSS adaptive filter algorithms named the variable step-size BNLMS (VSSBNLMS) and the variable step-size NDRLMS (VSSNDRLMS) based on the generic VSS adaptive filter. The proposed algorithms show the higher convergence rate and lower steady-state mean square error compared to the ordinary BNLMS and NDRLMS algorithms.