150307 20251017144549.0 doi 10.1016/j.dsp.2014.09.004 sideral 102736 ART-2015-102736 eng Fernandez-Bes, Jesus (orcid)0000-0001-5175-3166 Distributed estimation in diffusion networks using affine least-squares combiners 2015 Access copy available to the general public Unrestricted We propose a diffusion scheme for adaptive networks, where each node obtains an estimate of a common unknown parameter vector by combining a local estimate with the combined estimates received from neighboring nodes. The combination weights are adapted in order to minimize the mean-square error of the network employing a local least-squares (LS) cost function. This adaptive diffusion network with LS combiners (ADN-LS) is analyzed, deriving expressions for its network mean-square deviation that characterize the convergence and steady-state performance of the algorithm. Experiments carried out in stationary and tracking scenarios show that our proposal outperforms a state-of-art scheme for adapting the weights of diffusion networks (ACW algorithm from [10]), both during convergence and in tracking situations. Despite its good convergence behavior, our proposal may present a slightly worse steady-state performance in stationary or slowly-changing scenarios with respect to ACW due to the error inherent to the least-squares adaptation with sliding window. Therefore, to take advantage of these different behaviors, we also propose a hybrid scheme based on a convex combination of the ADN-LS and ACW algorithms. info:eu-repo/semantics/openAccess All rights reserved http://www.europeana.eu/rights/rr-f/ 1.444 2015 ENGINEERING, ELECTRICAL & ELECTRONIC 112 / 255 = 0.439 2015 Q2 T2 0.566 2015 Signal Processing 2015 Q2 Electrical and Electronic Engineering 2015 Q2 info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion Azpicueta-Ruiz, Luis A. Arenas-García, Jerónimo Silva, Magno T.M. 36 (2015), 1-14 Digit. signal process. DIGITAL SIGNAL PROCESSING 1051-2004 1092234 http://zaguan.unizar.es/record/150307/files/texto_completo.pdf Postprint 1566859 http://zaguan.unizar.es/record/150307/files/texto_completo.jpg?subformat=icon icon Postprint oai:zaguan.unizar.es:150307 articulos driver 2025-10-17-14:11:02 ARTICLE