The performance of traditional adaptive filtering algorithms will be degraded when the input
signal contains noise. To handle colored noisy input and output measurements in the …

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 …

To achieve good estimation in the impulsive noise environment, some hyperbolic functions
have been introduced as cost functions to develop robust adaptive filtering algorithms in …

The affine projection sign subband adaptive filter (AP-SSAF) was designed by utilizing the
most recent input samples to further enhance the performance of the traditional SSAF …

In the application of system identification, not only the output but also the input of the system
may be corrupted by noise, which is often characterized by the errors-in-variables (EIV) …

To enhance the filtering accuracy of the traditional sign subband adaptive filter (SSAF)
algorithm and its individual-weighting-factors variant, this brief proposes the logarithmic …

Recently, an affine projection generalized maximum correntropy criterion (APGMCC)
algorithm was developed to process the colored input signal and impulsive noise. However …

This paper presents a new and effective nonparametric variable step-size normalized least-
mean-square (VSS-NLMS) algorithm which provides excellent performance in various …

Abstract single bond In this paper, we propose a new multichannel fast normalized least
mean square (MC-FNLMS) algorithm for audio teleconferencing systems. The main idea …

The problem of sparse adaptive system identification such as acoustic echo cancellation
(AEC) needs robust adaptive filtering algorithms in the situation where the system is often …