Search Results - "Bruno, M. G. S."

Cooperative Target Tracking Using Decentralized Particle Filtering and RSS Sensors by Dias, S. S., Bruno, M. G. S.

“…This paper introduces new cooperative particle filter algorithms for tracking emitters using received-signal strength (RSS) measurements. In the studied…”
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DCT/DST and Gauss-Markov fields: conditions for equivalence by Moura, J.M.F., Bruno, M.G.S.

“…The correspondence addresses the intriguing question of which random models are equivalent to the discrete cosine transform (DCT) and discrete sine transform…”
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Bayesian methods for multiaspect target tracking in image sequences by Bruno, M.G.S.

“…In this paper, we introduce new algorithms for automatic tracking of multiaspect targets in cluttered image sequences. We depart from the conventional…”
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Cooperative particle filtering for emitter tracking with unknown noise variance by Dias, S. S., Bruno, M. G. S.

“…We introduce in this paper a novel cooperative particle filter algorithm for tracking a moving emitter using received-signal strength (RSS) measurements with…”
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Multiframe detector/tracker: optimal performance by Bruno, M.G.S., Moura, J.M.F.

“…We develop the optimal Bayes multiframe detector/tracker for rigid extended targets that move randomly in clutter. The performance of this optimal algorithm…”
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Sequential importance sampling filtering for target tracking in image sequences by Bruno, M.G.S.

“…We propose in this letter a new approach to direct target tracking in cluttered image sequences using sequential importance sampling (SIS). We use Gauss-Markov…”
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A Rao-Blackwellized Particle Filter for Blind Equalization of Frequency-Selective Channels with Unknown Order and Noise Variance by Bordin, C. J., Bruno, M. G. S.

“…We propose in this paper a new particle filtering algorithm for blind equalization of FIR frequency-selective communication channels corrupted by additive…”
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A Density-Assisted Particle Filter for Mobile Robot Localization with Uncertain Environment MAP by Silva, P. R. A., Bruno, M. G. S.

“…We present in this paper a modified density-assisted particle filter for indoor mobile robot localization in a situation where the environment map is subject…”
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