Radar maneuvering target detection in clutter background should not only consider the
complex characteristics of the target to accumulate its energy as much as possible, but also …

This paper proposes variable step-size-norm constraint normalized least mean square (-
NLMS) algorithms for sparse channel identification. The mean square deviation of the-NLMS …

This study proposes a variable step-size saturation affine projection algorithm (VSS-sat-
APA) robust to impulsive noise. The proposed algorithm is analytically derived from the …

An adaptive finite impulse response (FIR) filter is a key technique to remove noise in non-
stationary signals. With the rapid development of the various adaptive algorithms, it is both …

The Elo algorithm, renowned for its simplicity, is widely used for rating in sports tournaments
and other applications. However, despite its widespread use, a detailed understanding of …

Most adaptive system identification analyses assume the length of the adaptive filter to
match the length of the unknown system response. This assumption tends to be unrealistic …

This paper presents a stochastic model of the least-mean-square for bilinear forms (LMS-BF)
algorithm in which the bilinear term is defined with respect to the temporal and spatial …

Currently, many adaptive filtering algorithms are available for the non-Gaussian
environment, namely, least mean square (LMS) algorithm, recursive least square (RLS) …

This paper presents a stochastic model describing the behavior of either affine or convex
combination scheme involving two adaptive filters operating in parallel with the normalized …

This paper aims to develop an accurate stochastic model for the diffusion normalized least-
mean-square (dNLMS) algorithm operating with both combine-then-adapt (CTA) and adapt …