The affine projection (AP) algorithm is one of the most celebrated adaptive filtering
algorithms, and it achieves a good tradeoff between the convergence rate and …

In this paper, a variable step-size widely linear complex-valued affine projection algorithm
(VSS-WLCAPA) is proposed for processing noncircular signals. The variable step-size …

This paper studies the statistical behavior of an affine combination of the outputs of two least
mean-square (LMS) adaptive filters that simultaneously adapt using the same white …

The Hilbert space embedding provides a powerful and flexible tool for dealing with the
nonlinearity and high-order statistics of random variables in a dynamical system. The kernel …

In this paper, we propose and analyze the sparsity-aware sign subband adaptive filtering
with individual weighting factors (S-IWF-SSAF) algorithm, and consider its application in …

The affine projection algorithm (APA) suffers from performance degradation when dealing
with non-Gaussian noises. To address this issue, a novel robust affine projection tanh …

Random Fourier adaptive filters (RFAFs) project the original data into a high-dimensional
random Fourier feature space (RFFS) such that the network structure of filters is fixed while …

This paper presents a family of robust set-membership normalized subband adaptive
filtering (RSM-NSAF) algorithms for acoustic echo cancellation (AEC). By using a new robust …

We present a novel affine projection algorithm (APA) which automatically determines its
projection order by an evolutionary method. The evolutionary method increases or …

This paper studies the statistical behavior of the normalized subband adaptive filtering
(NSAF) algorithm. An accurate statistical model of the NSAF algorithm is obtained. In the …