The performance of the normalized subband adaptive filtering (NSAF) algorithm will be
degraded when processing signals with missing data. In this brief, a normalized subband …

Subband structures are suitable for improving convergence properties of adaptive filtering
algorithms, particularly for colored input signals. This brief proposes a new subband …

We present a novel subband adaptive filtering (SAF) algorithm that selects a subset of
subbands and uses them to update the adaptive filter weight. The normalized SAF (NSAF) …

In this paper, the signed regressor normalized subband adaptive filter (SR-NSAF) algorithm
is proposed. This algorithm is optimized by L1-norm minimization criteria. The SR-NSAF has …

The improved multiband structured subband adaptive filter (IMSAF) utilizes the input
regressors at each subband to speed up the convergence rate of MSAF. When the number …

This letter proposes a novel sign subband adaptive filtering (SSAF) algorithm with a subset
selection for subband filters, called the SS-SSAF. The proposed algorithm achieves the fast …

This article proposes a scheduled step-size normalized subband adaptive filter (NSAF)
algorithm in stationary system environment. The mean-square deviation of the NSAF …

Proposed is a robust normalised subband adaptive filter (NSAF) for identifying a highly noisy
system. The proposed NSAF reutilises a number of past weight vectors in adaptation …

This paper solves the problem of distributed estimation in the diffusion networks based on
the family of normalized subband adaptive filters (NSAFs). The diffusion NSAF (DNSAF), the …

A new variable regularisation matrix (VRM) for the normalised subband adaptive filter
(NSAF) is proposed, which is derived by letting the powers of the subband a posteriori errors …