May Zar Lin

Regularized LMS and diffusion adaptation LMS with graph filters for non-stationary data

2017

In sensor networks, adaptive algorithms such as diffusion adaptation LMS are commonly used to learn and track non-stationary signals. When such signals have similarities across certain nodes as captured by a graph, then Laplacian Regularized …