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- Boujemaa Ait-El-Fquih, FranÃ§ois Desbouvries
- IEEE Transactions on Signal Processing
- 2006

Let x = {xn} <sub>nisinIN</sub> be a hidden process, y = {y<sub>n</sub>}<sub>nisinIN</sub> an observed process, and r = {r<sub>n</sub>}<sub>nisinIN</sub> some additional process. We assume that t =â€¦ (More)

- Boujemaa Ait-El-Fquih, FranÃ§ois Desbouvries
- Proceedings. (ICASSP '05). IEEE Internationalâ€¦
- 2005

An important problem in signal processing consists in estimating an unobservable process x = {x/sub n/}/sub n/spl epsiv/IN/ from an observed process y = {y/sub n/}/sub n/spl epsiv/IN/. In linearâ€¦ (More)

- Alberto Gaspar GuimarÃ£es, Boujemaa Ait-El-Fquih, FranÃ§ois Desbouvries
- IEEE Transactions on Wireless Communications
- 2010

We introduce a new sequential importance sampling (SIS) algorithm which propagates in time a Monte Carlo approximation of the posterior fixed-lag smoothing distribution of the symbols underâ€¦ (More)

- Boujemaa Ait-El-Fquih, FranÃ§ois Desbouvries
- IEEE Transactions on Automatic Control
- 2008

In this note, we revisit fixed-interval Kalman like smoothing algorithms. We have two results. We first unify the family of existing algorithms by deriving them in a common Bayesian framework; as weâ€¦ (More)

- Boujemaa Ait-El-Fquih, FranÃ§ois Desbouvries
- 2006 IEEE International Conference on Acousticsâ€¦
- 2006

An important problem in signal processing consists in estimating an unobservable process x = {xn}nisinN from an observed process y = {yn}nisinN. In linear Gaussian hidden Markov chains (LGHMC),â€¦ (More)

- FranÃ§ois Desbouvries, Yohan Petetin, Boujemaa Ait-El-Fquih
- Signal Processing
- 2011

We address the recursive computation of the filtering probability density function (pdf) pnjn in a hidden Markov chain (HMC) model. We first observe that the classical path pn 1jn 1-pnjn 1-pnjn isâ€¦ (More)

- Boujemaa Ait-El-Fquih, FranÃ§ois Desbouvries
- IEEE/SP 13th Workshop on Statistical Signalâ€¦
- 2005

An important problem in signal processing consists in estimating an unobservable process x={xn}nisinN from an observed process y={yn}nisinN. In linear Gaussian hidden Markov chains (LGHMC), recursiveâ€¦ (More)

- Boujemaa Ait-El-Fquih, Ibrahim Hoteit
- IEEE Transactions on Signal Processing
- 2015

This article considers the filtering problem for linear and Gaussian state-space models with large dimensions, a setup in which the optimal Kalman Filter (KF) might not be applicable owing to theâ€¦ (More)

- Boujemaa Ait-El-Fquih, Thomas Rodet
- 2011 IEEE International Conference on Acousticsâ€¦
- 2011

The problem of dynamical tomography consists in reconstructing a temporal sequence of images from their noisy projections. For this purpose, a recursive algorithm is usually used, like for instanceâ€¦ (More)

- FranÃ§ois Desbouvries, Boujemaa Ait-El-Fquih
- 2008 IEEE Workshop on Machine Learning for Signalâ€¦
- 2008

Particle filtering (PF) algorithms propagate in time a Monte Carlo (MC) approximation of the a posteriori filtering measure in a hidden Markov chain (HMC) model. In this paper we first shed some newâ€¦ (More)