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- Yonina C. Eldar, Arye Nehorai, Patricio S. La Rosa
- IEEE Transactions on Signal Processing
- 2007

We treat the problem of beamforming for signal estimation where the goal is to estimate a signal amplitude from a set of array observations. Conventional beamforming methods typically aim at… (More)

- Elad Gilboa, Patricio S. La Rosa, Arye Nehorai
- Annals of Biomedical Engineering
- 2012

Finding the electrical conductivity of tissue is highly important for understanding the tissue’s structure and functioning. However, the inverse problem of inferring spatial conductivity from data is… (More)

- Patricio S. La Rosa, Arye Nehorai, Hari Eswaran, Curtis L Lowery, Hubert Preissl
- IEEE Transactions on Biomedical Engineering
- 2008

We propose a single channel two-stage time-segment discriminator of uterine magnetomyogram (MMG) contractions during pregnancy. We assume that the preprocessed signals are piecewise stationary having… (More)

- Patricio S. La Rosa, Alexandre Renaux, Carlos Horacio Muravchik, Arye Nehorai
- IEEE Transactions on Signal Processing
- 2010

We compute lower bounds on the mean-square error of multiple change-point estimation. In this context, the parameters are discrete and the Cramér-Rao bound is not applicable. Consequently, we focus… (More)

- Yonina C. Eldar, Arye Nehorai, Patricio S. La Rosa
- IEEE Signal Processing Letters
- 2006

We treat the problem of beamforming for signal estimation in the presence of steering vector uncertainties, where the goal is to estimate a signal amplitude from a set of array observations.… (More)

We develop a forward model for uterine electromyogram (EMG) and magnetomyogram (MMG) contractions. Our model aims to describe the electrophysiological aspects of uterine contractions during pregnancy… (More)

- Johan Wahlström, Isaac Skog, Patricio S. La Rosa, Peter Händel, Arye Nehorai
- IEEE Trans. Signal Processing
- 2017

We study the maximum likelihood estimator in a setting where the dependent variable is a random graph and covariates are available on a graph-level. The model generalizes the well-known β-model for… (More)

- Johan Wahlström, Isaac Skog, Patricio S. La Rosa, Peter Händel, Arye Nehorai
- IEEE Transactions on Signal Processing
- 2017

We study the maximum-likelihood estimator in a setting where the dependent variable is a random graph and covariates are available on a graph level. The model generalizes the well-known… (More)

OF THE DISSERTATION Modeling and Detection of Uterine Contractions using Magnetomyography by Patricio Salvatore La Rosa Araya Doctor of Philosophy in Electrical Engineering Washington University in… (More)

- Manuel A. Duarte-Mermoud, Patricio S. La Rosa
- IMA J. Math. Control & Information
- 2003

In this paper we investigate the observer design for Single-Input Single-Output (SISO) systems with unknown input. We find that the design conditions proposed by several authors in the past lead to… (More)

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