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2015

Martino, Luca; Elvira, Victor; Luengo, David; Corander, Jukka

An Adaptive Population Importance Sampler: Learning From Uncertainty Artículo de revista

En: IEEE Transactions on Signal Processing, vol. 63, no. 16, pp. 4422–4437, 2015, ISSN: 1053-587X.

Resumen | Enlaces | BibTeX | Etiquetas: Adaptive importance sampling, adaptive multiple IS, adaptive population importance sampler, AMIS, APIS, Estimation, Importance sampling, IS estimators, iterative estimation, iterative methods, Journal, MC methods, Monte Carlo (MC) methods, Monte Carlo methods, population Monte Carlo, Proposals, Signal processing algorithms, simple temporal adaptation, Sociology, Standards, Wireless sensor network, Wireless Sensor Networks

2014

Read, Jesse; Achutegui, Katrin; Miguez, Joaquin

A Distributed Particle Filter for Nonlinear Tracking in Wireless Sensor Networks Artículo de revista

En: Signal Processing, vol. 98, pp. 121–134, 2014.

Resumen | Enlaces | BibTeX | Etiquetas: Distributed filtering, Target tracking, Wireless sensor network

2011

Achutegui, Katrin; Miguez, Joaquin

A Parallel Resampling Scheme and its Application to Distributed Particle Filtering in Wireless Networks Artículo en actas

En: 2011 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), pp. 81–84, IEEE, San Juan, 2011, ISBN: 978-1-4577-2105-2.

Resumen | Enlaces | BibTeX | Etiquetas: Approximation algorithms, Approximation methods, Artificial neural networks, distributed resampling, DRNA technique, Markov processes, nonproportional allocation algorithm, parallel resampling scheme, PF, quantization, Signal processing, Vectors, Wireless sensor network, Wireless Sensor Networks, WSN

2009

Perez-Cruz, Fernando; Kulkarni, S R

Distributed Least Square for Consensus Building in Sensor Networks Artículo en actas

En: 2009 IEEE International Symposium on Information Theory, pp. 2877–2881, IEEE, Seoul, 2009, ISBN: 978-1-4244-4312-3.

Resumen | Enlaces | BibTeX | Etiquetas: Change detection algorithms, Channel Coding, Distributed computing, distributed least square method, graphical models, Inference algorithms, Kernel, Least squares methods, nonparametric statistics, Parametric statistics, robustness, sensor-network learning, statistical analysis, Telecommunication network reliability, Wireless sensor network, Wireless Sensor Networks