Ribeiro, Vinay JosephRiedi, Rudolf H.Baraniuk, Richard G.2007-10-312007-10-312003-10-012003-10-01V. J. Ribeiro, R. H. Riedi and R. G. Baraniuk, "Optimal Sampling Strategies for Multiscale Models with Application to Network Traffic Estimation," 2003.https://hdl.handle.net/1911/20253Conference PaperThis paper considers the problem of determining which set of 2^<i>p</i> leaf nodes on a binary multiscale tree model of depth N (<i>N</i>><i>p</i>) gives the best linear minimum mean-squared estimator of the tree root. We find that the best-case and worst-case sampling choices depend on the correlation structure of the tree. This problem arises in Internet traffic estimation, where the goal is to estimate the average traffic rate on a network path based on a limited number of traffic samples.engtree multiscale optimal sampling networks traffic estimationSignal Processing for NetworkingConference papertree multiscale optimal sampling networks traffic estimationhttp://dx.doi.org/10.1109/SSP.2003.1289360