Aiming at the problem that the feedforward neural network blind equalization algorithm has
a slow convergence rate and a large steady-state error when equalizing the high-order non …

Distributed in-network processing has garnered much attention due to its capability to
estimate the unknown parameter of interest from noisy measurements based on a set of …

In this paper, we consider how to improve the performance of distributed estimation over a
diffusion network in order to estimate the unknown parameter of interest from noisy …

The performance of distributed blind equalization over a wireless sensor network (WSN) is
affected by the transmission channels between the data transmitter and each sensor node in …

Distributed blind equalization in wireless sensor networks (WSNs) attracts much attention in
the field of in-network processing since the data signal can be recovered without the training …

A distributed estimation algorithm is discussed referring to the single-input multiple-output
(SIMO) channel model over a wireless sensor network (WSN) to estimate the transmitted …

This paper considers distributed blind equalization for estimating an unknown transmitted
data signal over wireless sensor networks (WSNs). We propose an efficient combination …

In this paper, a signal transmission model through wireless sensor network (WSN) is
presented. Further transmission from the WSN is considered, and an efficient and effective …