This paper presents an efficient adaptive combination strategy for the distributed estimation
problem over diffusion networks in order to improve robustness against the spatial variation …

Using the diffusion strategies, an unknown parameter vector can be estimated over an
adaptive network by combining the intermediate estimates of neighboring nodes at each …

Distributed estimation of a common unknown parameter vector can be realized efficiently
and robustly over an adaptive network employing diffusion strategies. In the adapt-then …

We propose a new variable step-size diffusion least mean square algorithm for distributed
estimation that adaptively adjusts the step-size in every iteration. For a network application …

Distributed estimation over networks has received a lot of attention due to its broad
applicability. In diffusion type of distributed estimation, the parameters of interest can be well …

The diffusion LMS algorithm has been extensively studied in recent years. This efficient
strategy allows to address distributed optimization problems over networks in the case …

We consider the problem of distributed estimation, where a set of nodes is required to
collectively estimate some parameter of interest from noisy measurements. The problem is …

Robust diffusion adaptive estimation algorithms based on the maximum correntropy criterion
(MCC), including adapt then combine MCC and combine then adapt MCC, are developed to …

This brief proposes a robust distributed estimation algorithm in presence of impulsive noise.
Impulsive noises are present both in the measurements and in the communication links in a …

We study the problem of distributed estimation based on the affine projection algorithm
(APA), which is developed from Newton's method for minimizing a cost function. The …