An exhaustive review of adaptive signal processing schemes which are robust, sparsity-
aware and robust as well as sparsity-aware has been carried out in this paper. Conventional …

The recently proposed recursive inverse (RI) adaptive algorithm has shown improved
performance compared to some well-known adaptive algorithms [1]. However, there has …

A new adaptive control technique is proposed for a three‐phase shunt active power filter
(SAPF) in this study. The proposed control algorithm is based on recursive inverse theory …

Sparse signals corrupted by impulsive disturbances are considered. The assumption about
disturbances is that they degrade the original signal sparsity. No assumption about their …

This paper proposes a two-stage adaptive method for restoration of images corrupted with
impulse noise. In the first stage, the pixels which are most likely contaminated by noise are …

In this paper, we present an approach to the reconstruction of signals exhibiting sparsity in a
transformation domain, having some heavily disturbed samples. This sparsity-driven signal …

In this paper, we study the parameter estimation problem for pseudo-linear autoregressive
moving average systems. The key is to use the data filtering technique to obtain a pseudo …

In this paper, we focus on the recursive computation of the cost functions for the least-
squares-type algorithms for multivariable linear regressive models. It is shown that the …

The RI method, which has only lately been developed, has showed outstanding
performance in a wide range of application fields. Convexly linked RI method In this study …

Özet Adaptif filtre tekniklerin sinyal işlemede sıklıkla kullanılmaktadır. Genellikle adaptif
filtrenin kararlı durum hataların-karelerinin ortalaması (HKO) ve yakınsama hızı arasında bir …