This paper presents an algorithm, named adaptive projected subgradient method that can
minimize asymptotically a certain sequence of nonnegative convex functions over a closed …

We present an algorithm that minimizes asymptotically a sequence of nonnegative convex
functions over diffusion networks. In the proposed algorithm, at each iteration the nodes in …

This paper presents an algorithmic solution, the adaptive projected subgradient method, to
the problem of asymptotically minimizing a certain sequence of non-negative continuous …

This paper indicates that an appropriate design of metric leads to significant improvements
in the adaptive projected subgradient method (APSM), which unifies a wide range of …

This paper presents an analysis of the steady-state mean-square error (MSE) of the set-
membership normalized least-mean square (SM-NLMS) algorithm with relaxation and …

The adaptive parallel subgradient projection (PSP) algorithm was proposed in 2002 as a set-
theoretic adaptive filtering algorithm providing fast and stable convergence, robustness …

We study the problem of robust online multiuser detection in the context of non-orthogonal
multiple access. The optimal multiuser detector (in terms of the uncoded bit error rate) is the …

This paper presents two novel blind set-theoretic adaptive filtering algorithms for
suppressing" Multiple Access Interference (MAI)," which is one of the central burdens in …

In this paper, we propose a novel reduced-rank adaptive filtering algorithm exploiting the
Krylov subspace associated with estimates of certain statistics of input and output signals …

In stereophonic acoustic echo cancellation (SAEC) problem, fast and accurate tracking of
echo path is strongly required for stable echo cancellation. In this paper, we propose a class …