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In this paper, we study the problem of distributed blind equalization in single-input multi-output (SIMO) systems, wherein the channels of networked systems share some similarities. This corresponds to a multi-task optimization problem. To tackle this problem, an adaptive distributed generalized Sato algorithm (d-GSA) using the diffusion cooperation rule is proposed. In the proposed d-GSA, only the...
Distributed estimation, where a set of nodes collaboratively estimate some parameters of interest from noisy measurements, has received much attention in both science and engineering. Recent studies mainly focus on distributed non-blind or training-based estimation, that is, a training signal and its desired output are both known to the distributed receivers. However, in some applications, it is physically...
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