A low-complexity universal scheme for rate-constrained distributed regression using a wireless sensor network

We propose a scheme for rate-constrained distributed non-parametric regression using a wireless sensor network. The scheme is universal across a wide range of sensor noise models, including unbounded and nonadditive noise; it has low complexity, requiring simple operations such as uniform scalar qua...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Fernandes, A.L., Raginsky, M., Coleman, T.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Additive noise Convergence Dispersion Message passing message-passing algorithms Minimax techniques Noise measurement nonparametric estimation Quantization rate-distortion theory Sensor fusion Sensor networks Sensor phenomena and characterization Wireless sensor networks
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!