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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 node. We propose an extension to the diffusion recursive least-squares algorithm by allowing partial sharing of the entries of the intermediate estimate vectors among the neighbors. Accordingly, the proposed algorithm, termed partial-diffusion...
In the diffusion strategies for distributed estimation over adaptive networks, each node calculates a weighted average of the intermediate parameter estimates of its neighboring nodes. Thus, all the nodes should continuously share their intermediate estimates with their neighbors. In this paper, we consider exchanging a predetermined number of elements of each intermediate estimate vector at each...
In this paper we consider the problem of collective motion for a set of mobile nodes. The objective of nodes is to move toward a target. Adaptive networkcan be used for this purpose. In this paper, we propose a reduced-complexity diffusion adaptive network solution. The idea is to use a selective cooperation, by choosing the best nodes at each iteration, to reduce the number of communications. As...
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