@conference {810,
	title = {Spectrum Cartography using quantized observations},
	booktitle = {IEEE Int. Conference on Acoustics, Speech and Signal Processing (ICASSP)},
	year = {2015},
	month = {04/2015},
	publisher = {IEEE},
	organization = {IEEE},
	address = {Brisbane, Australia},
	abstract = {<div>This work proposes a spectrum cartography algorithm used for learning the power spectrum distribution over a wide frequency band across a given geographic area. Motivated by low-complexity sensing hardware and stringent communication constraints, compressed and quantized measurements are considered. Setting out from a nonparametric regression framework, it is shown that a sensible approach leads to a support vector machine formulation. The simulated tests verify that accurate spectrum maps can be constructed using a simple sensing architecture with significant savings in the feedback.</div>},
	keywords = {cognitive radio, compass, compressed sensing, spectrum sensing},
	author = {Daniel Romero and Seung-Jun Kim and R. L{\'o}pez-Valcarce and Georgios Giannakis}
}
