Jun-Taek Kong

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We propose diffusion least-mean-square (LMS) algorithms utilizing multi-combination steps. Unlike conventional diffusion LMS, we allow each node in the network to use information from multi-hop neighbors for improving the approximation accuracy of a global cost function. The resulting distributed algorithms consist of adaptation and multi-combination steps.(More)
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