A Low-Complexity Universal Scheme for Rate-Constrained Distributed Regression Using a Wireless Sensor Network

DOI10.1109/TSP.2009.2013897zbMath1391.94210OpenAlexW2159322288MaRDI QIDQ4571675

Avon L. Fernandes, Maxim Raginsky, Todd Coleman

Publication date: 9 July 2018

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tsp.2009.2013897

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

This page was built for publication: A Low-Complexity Universal Scheme for Rate-Constrained Distributed Regression Using a Wireless Sensor Network