Paolo Di Lorenzo, Sergio Barbarossa, Paolo Banelli, Stefania Sardellitti
TL;DR本文提出了一种最小平方算法 least mean squares (LMS),用于自适应估计图形信号,并通过数值模拟验证了该方法的性能。同时,该文还提出了一种在不知道带宽的情况下进行谱稀疏在线估计的方法,以便在线调整图形采样策略,并将该方法应用于构建认知网络环境下操作区域的功率空间密度制图。
Abstract
In many applications spanning from sensor to social networks, transportation systems, gene regulatory networks or big data, the signals of interest are defined over the vertices of a graph. The aim of this paper is to propose a least mean square (LMS) strategy for adaptive estimation o