Distributed estimation strategies over wireless sensor networks are one of the active areas
of research due to the wide range of applications in a variety of fields ranging from …

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 …

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 …

This paper proposes a new adaptive communication-less control strategy to enhance the
dynamic performance of the interlinking converter (ILC) of a remote hybrid microgrid. The …

In this brief, a secure distributed estimation algorithm is devised, based on a generalized
correntropy kernel function, which is robust against malicious attacks with false data …

This brief paper proposes a robust generalized proportionate diffusion Least Mean Square
(LMS) algorithm for distributed estimation of a parameter vector in a network. The …

Graph regularized nonnegative matrix factorization (GNMF) has been widely used in data
representation due to its excellent dimensionality reduction. When it comes to clustering …

This paper proposes an adversary-resilient communication-efficient distributed estimation
algorithm for time-varying networks. It is a generalization of the doubly compressed diffusion …

To achieve good estimation in the impulsive noise environment, some hyperbolic functions
have been introduced as cost functions to develop robust adaptive filtering algorithms in …

Many works of literature support the potential of distributed channel estimation resorting to
the traditional LMS algorithm and its variants. But these conventional LMS algorithms fail in …