Mónica F. Bugallo

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Recommended for Publication by Marc Moonen We have found an error in the proof of Lemma 1 presented in our paper " A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics " (EURASIP Journal on Applied Signal Processing, 2004). In the sequel, we provide a restatement of the lemma and a corrected (and simpler) proof. We emphasize(More)
Recent advances of wireless sensor networks have presented some very interesting problems for signal processing. For practical reasons , many networks are composed of simple sensors that use very little power and do not consume much communication bandwidth. A class of sensors that satisfy these requirements are the tertiary sensors. They report an(More)
In this paper we propose a novel approach for separating convolutive mixtures in the frequency domain. This approach involves the solution of several instantaneous mixing problems and the elimination of the indeterminacies which appear because the sources may be extracted in a different order or with different amplitudes in some frequency bins. In order to(More)
— In this paper, we study the problem of joint model selection and parameter estimation under the Bayesian framework. We propose to use the Population Monte Carlo (PMC) methodology in carrying out Bayesian computations. The PMC methodology has recently been proposed as an efficient sampling technique and an alternative to Markov Chain Monte Carlo (MCMC)(More)
—We present particle filtering algorithms for tracking a single target using data from binary sensors. The sensors transmit signals that identify them to a central unit if the target is in their neighborhood; otherwise they do not transmit anything. The central unit uses a model for the target movement in the sensor field and estimates the target's(More)
In this paper we consider the problem of target tracking in a network of mobile agents. We propose a scheme with agents that are endowed with processing and decision-making capabilities and without a central unit that controls them and/or fuses information. The agents measure received signal strengths from the targets and communicate it to the remaining(More)