Affine projection algorithms are useful adaptive filters whose main purpose is to speed the
convergence of LMS-type filters. Most analytical results on affine projection algorithms …

A class of equivalent algorithms that accelerate the convergence of the normalized LMS
(NLMS) algorithm, especially for colored inputs, has previously been discovered …

Recently, a multiband-structured subband adaptive filter (MSAF) algorithm was proposed to
speed up the convergence of the normalized least-mean-square (NLMS) algorithm. In this …

This paper proposes a solution to reduce the inter symbol interferences (ISI) in multipath
channels with frequency selective fading. The proposed solution is based on a Modified …

Affine projection algorithm encompasses a family of configurable algorithms designed to
improve the performance of other adaptive algorithms, mainly LMS based ones, especially …

In recent years, affine projection algorithms have been proposed for adaptive system
applications as an efficient alternative to the slow convergence speed of least mean square …

Abstract The Normalized Least Mean Square (NLMS) algorithm with a filtered-x structure
(FxNLMS) is a widely used adaptive algorithm for Active Noise Control (ANC) due to its …

In this paper, we present a theoretical convergence analysis of the affine projection
algorithm (APA) based on the arguments of energy conservation. Although the APA and its …

This paper addresses the problem of speech enhancement and acoustic noise reduction by
adaptive filtering algorithms in a moving car through blind source separation (BSS) …

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