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 …

System identification problems are always challenging to address in applications that
involve long impulse responses, especially in the framework of multichannel systems. In this …

The widely-linear affine projection algorithm (WL-APA) based on the orthogonal affine
projection principle and the WL model utilizes the past multiple input signal vectors for …

In recent years, correntropy-based algorithms which include maximum correntropy criterion
(MCC), generalized MCC (GMCC), kernel MCC (KMCC) and hyperbolic cosine function …

The squared sine adaptive (SSA) algorithm is presented for identification scenarios, such as
acoustic-echo cancellation (AEC) applications, in non-Gaussian environments. To devise …

A linear-in-the-parameters nonlinear filter consists of a functional expansion block, which
expands the input signal to a higher dimensional space nonlinearly, followed by an adaptive …

This brief introduces a novel cost function framework for develo** robust algorithms for
adaptive filtering by embedding the standard cost function into the arctangent framework …

The identification of room acoustic impulse responses represents a challenging problem in
the framework of many important applications related to the acoustic environment, like echo …

In this brief, a proportionate robust diffusion recursive least exponential hyperbolic cosine
algorithm is proposed for distributed estimation. To be robust against impulsive noise, an …

Robust adaptive filters utilizing hyperbolic cosine and correntropy functions have been
successfully employed in non-Gaussian noisy environments. However, these filters suffer …