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- Daniel Romero, Geert Leus
- 2013 Information Theory and Applications Workshopâ€¦
- 2013

Most research efforts in the field of compressed sensing have been pointed towards analyzing sampling and reconstruction techniques for sparse signals, where sampling rates below the Nyquist rate canâ€¦ (More)

- Daniel Romero, Roberto LÃ³pez-Valcarce, Geert Leus
- 2013 IEEE International Conference on Acousticsâ€¦
- 2013

Wideband spectrum sensing provides a means to determine the occupancy of channels spanning a broad range of frequencies. Practical limitations impose that the acquisition should be accomplished at aâ€¦ (More)

- Daniel Romero, Dyonisius Dony Ariananda, Zhi Tian, Geert Leus
- IEEE Signal Processing Magazine
- 2016

Compressed sensing deals with the reconstruction of signals from sub-Nyquist samples by exploiting the sparsity of their projections onto known subspaces. In contrast, this article is concerned withâ€¦ (More)

- Daniel Romero, Roberto LÃ³pez-Valcarce, Geert Leus
- IEEE Transactions on Information Theory
- 2015

The class of complex random vectors whose covariance matrix is linearly parameterized by a basis of Hermitian Toeplitz (HT) matrices is considered, and the maximum compression ratios that preserveâ€¦ (More)

- Daniel Romero, Meng Ma, Georgios B. Giannakis
- IEEE Transactions on Signal Processing
- 2017

A number of applications in engineering, social sciences, physics, and biology involve inference over networks. In this context, graph signals are widely encountered as descriptors of vertexâ€¦ (More)

- Daniel Romero, Vassilis N. Ioannidis, Georgios B. Giannakis
- IEEE Journal of Selected Topics in Signalâ€¦
- 2017

Graph-based methods pervade the inference toolkits of numerous disciplines including sociology, biology, neuroscience, physics, chemistry, and engineering. A challenging problem encountered in thisâ€¦ (More)

- Daniel Romero, Seung-Jun Kim, Roberto LÃ³pez-Valcarce, Georgios B. Giannakis
- 2015 IEEE International Conference on Acousticsâ€¦
- 2015

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 sensingâ€¦ (More)

- Daniel Romero, Geert Leus
- IEEE Transactions on Signal Processing
- 2013

Wideband spectrum sensing (WSS) encompasses a collection of techniques intended to estimate or to decide over the occupancy parameters of a wide frequency band. However, broad bands require expensiveâ€¦ (More)

- Daniel Romero, Seung-Jun Kim, Georgios B. Giannakis, Roberto LÃ³pez-Valcarce
- IEEE Transactions on Signal Processing
- 2017

Power spectral density (PSD) maps providing the distribution of RF power across space and frequency are constructed using power measurements collected by a network of low-cost sensors. By introducingâ€¦ (More)

- Dyonisius Dony Ariananda, Daniel Romero, Geert Leus
- 2014 IEEE 8th Sensor Array and Multichannelâ€¦
- 2014

We examine power spectrum estimation from wide-sense stationary signals received at different wireless sensors. We organize multiple sensors into several groups, where each group estimates theâ€¦ (More)