Joaquín Míguez

Orcid: 0000-0002-6539-8860

According to our database1, Joaquín Míguez authored at least 118 papers between 1998 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Training Implicit Generative Models via an Invariant Statistical Loss.
CoRR, 2024

2023
Polynomial Propagation of Moments in Stochastic Differential Equations.
SIAM J. Appl. Dyn. Syst., June, 2023

A Sequential Monte Carlo Method for Parameter Estimation in Nonlinear Stochastic PDE's with Periodic Boundary Conditions.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

2022
Space-sequential particle filters for high-dimensional dynamical systems described by stochastic differential equations.
CoRR, 2022

2021
Nested Gaussian filters for recursive Bayesian inference and nonlinear tracking in state space models.
Signal Process., 2021

On the performance of particle filters with adaptive number of particles.
Stat. Comput., 2021

Convergence rates for optimised adaptive importance samplers.
Stat. Comput., 2021

Automatic tempered posterior distributions for Bayesian inversion problems.
CoRR, 2021

2020
Nudging the particle filter.
Stat. Comput., 2020

Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization.
Stat. Comput., 2020

Stable Approximation Schemes for Optimal Filters.
SIAM/ASA J. Uncertain. Quantification, 2020

A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Kalman-based nested hybrid filters for recursive inference in state-space models.
Proceedings of the 28th European Signal Processing Conference, 2020

2019
A Probabilistic Incremental Proximal Gradient Method.
IEEE Signal Process. Lett., 2019

Dictionary filtering: a probabilistic approach to online matrix factorisation.
Signal Image Video Process., 2019

Bayesian Computation Methods for Inference in Stochastic Kinetic Models.
Complex., 2019

Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

2018
Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models.
Signal Process., 2018

On the performance of parallelisation schemes for particle filtering.
EURASIP J. Adv. Signal Process., 2018

A Probabilistic Approach for Adaptive State-Space Partitioning.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

A Comparison Of Clipping Strategies For Importance Sampling.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

The Incremental Proximal Method: A Probabilistic Perspective.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation.
Proceedings of the Computing in Cardiology, 2018

Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment.
IEEE Trans. Signal Process., 2017

Adaptive Importance Sampling: The past, the present, and the future.
IEEE Signal Process. Mag., 2017

A robust scheme for distributed particle filtering in wireless sensors networks.
Signal Process., 2017

On the performance of nonlinear importance samplers and population Monte Carlo schemes.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Adaptive noisy importance sampling for stochastic optimization.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
A proof of uniform convergence over time for a distributed particle filter.
Signal Process., 2016

On the use of the channel second-order statistics in MMSE receivers for time- and frequency-selective MIMO transmission systems.
EURASIP J. Wirel. Commun. Netw., 2016

A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions.
Comput. Stat. Data Anal., 2016

Stability analysis and robust control of heart beat rate during treadmill exercise.
Autom., 2016

A novel algorithm for adapting the number of particles in particle filtering.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Online adaptation of the number of particles of SMC methods.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models.
Stat. Comput., 2015

Particle filtering for Bayesian parameter estimation in a high dimensional state space model.
Proceedings of the 23rd European Signal Processing Conference, 2015

A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
A distributed particle filter for nonlinear tracking in wireless sensor networks.
Signal Process., 2014

On the uniform asymptotic convergence of a distributed particle filter.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

2013
User Activity Tracking in DS-CDMA Systems.
IEEE Trans. Veh. Technol., 2013

On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization.
Stat. Comput., 2013

On the maximum likelihood estimation of the ToA under an imperfect path loss exponent.
EURASIP J. Wirel. Commun. Netw., 2013

A population Monte Carlo scheme for computational inference in high dimensional spaces.
Proceedings of the IEEE International Conference on Acoustics, 2013

Robust mixture populationmonte Carlo scheme with adaptation of the number of components.
Proceedings of the 21st European Signal Processing Conference, 2013

Particle filtering with transformed weights.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
A Particle Filtering Scheme for Processing Time Series Corrupted by Outliers.
IEEE Trans. Signal Process., 2012

A multi-model sequential Monte Carlo methodology for indoor tracking: Algorithms and experimental results.
Signal Process., 2012

2011
A Per-Survivor Processing Receiver for MIMO Transmission Systems With One Unknown Channel Order Per Output.
IEEE Trans. Veh. Technol., 2011

A generalization of the adaptive rejection sampling algorithm.
Stat. Comput., 2011

Bayesian Filtering Methods for Target Tracking in Mixed Indoor/Outdoor Environments.
Proceedings of the Mobile Lightweight Wireless Systems, 2011

Efficient distributed resampling for particle filters.
Proceedings of the IEEE International Conference on Acoustics, 2011

A population Monte Carlo method for Bayesian inference and its application to stochastic kinetic models.
Proceedings of the 19th European Signal Processing Conference, 2011

A parallel resampling scheme and its application to distributed particle filtering in wireless networks.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

2010
Assessment of nonlinear dynamic models by Kolmogorov-Smirnov statistics.
IEEE Trans. Signal Process., 2010

Analysis of a sequential Monte Carlo method for optimization in dynamical systems.
Signal Process., 2010

Generalized rejection sampling schemes and applications in signal processing.
Signal Process., 2010

Adaptive MLSD for MIMO transmission systems with unknown subchannel orders.
Proceedings of the 2010 7th International Symposium on Wireless Communication Systems, 2010

A model-switching sequential Monte Carlo algorithm for indoor tracking with experimental RSS data.
Proceedings of the 2010 International Conference on Indoor Positioning and Indoor Navigation, 2010

Maximum a posteriori voice conversion using sequential monte carlo methods.
Proceedings of the INTERSPEECH 2010, 2010

Evaluation of a method's robustness.
Proceedings of the IEEE International Conference on Acoustics, 2010

A rejection sampling scheme for posterior probability distributions via the ratio-of-uniforms method.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Maximum-Likelihood Sequence Detection in Time- and Frequency-Selective MIMO Channels With Unknown Order.
IEEE Trans. Veh. Technol., 2009

A novel rejection sampling scheme for posterior probability distributions.
Proceedings of the IEEE International Conference on Acoustics, 2009

Model assessment with Kolmogorov-Smirnov statistics.
Proceedings of the IEEE International Conference on Acoustics, 2009

New accept/reject methods for independent sampling from posterior probability distributions.
Proceedings of the 17th European Signal Processing Conference, 2009

A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data.
Proceedings of the IEEE International Conference on Control Applications, 2009

2008
Sequential Monte Carlo methods for complexity-constrained MAP equalization of dispersive MIMO channels.
Signal Process., 2008

A per-survivor processing algorithm for maximum likelihood equalization of MIMO channels with unknown order.
Proceedings of the 2008 International ITG Workshop on Smart Antennas, 2008

Analysis of a sequential Monte Carlo optimization methodology.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Analysis of parallelizable resampling algorithms for particle filtering.
Signal Process., 2007

Analysis of selection methods for cost-reference particle filtering with applications to maneuvering target tracking and dynamic optimization.
Digit. Signal Process., 2007

A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network.
Proceedings of the 4th Workshop on Positioning, Navigation and Communication, 2007

Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Erratum to "A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics".
EURASIP J. Adv. Signal Process., 2006

Particle Filtering Algorithms for Tracking a Maneuvering Target Using a Network of Wireless Dynamic Sensors.
EURASIP J. Adv. Signal Process., 2006

A Monte Carlo Method for Joint Node Location and Maneuvering Target Tracking in a Sensor Network.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

SMC algorithms for approximate-map equalization of MIMO channels with polynomial complexity.
Proceedings of the 14th European Signal Processing Conference, 2006

A particle filter for beacon-free node location and target tracking in sensor networks.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
A sequential Monte Carlo method for adaptive blind timing estimation and data detection.
IEEE Trans. Signal Process., 2005

On the estimation of random unobserved signals by maximization of target likelihoods and its application to blind timing and phase recovery.
Digit. Signal Process., 2005

A complexity-constrained particle filtering algorithm for MAP equalization of frequency-selective MIMO channels.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Joint estimation of states and transition functions of dynamic systems using cost-reference particle filtering.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Decision fusion for distributed target tracking using cost reference particle filtering.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Blind equalization of frequency-selective channels by sequential importance sampling.
IEEE Trans. Signal Process., 2004

A sequential Monte Carlo technique for blind synchronization and detection in frequency-flat Rayleigh fading wireless channels.
Signal Process., 2004

A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics.
EURASIP J. Adv. Signal Process., 2004

Maximum Likelihood Turbo Iterative Channel Estimation for Space-Time Coded Systems and Its Application to Radio Transmission in Subway Tunnels.
EURASIP J. Adv. Signal Process., 2004

A particle filter for blind timing recovery and data detection in fast fading wireless channels.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Density assisted particle filters for state and parameter estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Maneuvering target tracking using cost reference particle filtering.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
Particle filtering.
IEEE Signal Process. Mag., 2003

Space-time channel estimation and soft detection in time-varying multiaccess channels.
Signal Process., 2003

Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach.
Signal Process., 2003

Decision feedback turbo equalization for space-time coded systems.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Joint symbol detection and timing estimation using particle filtering.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Maximum Likelihood Unsupervised Source Separation in Gaussian Noise.
J. VLSI Signal Process., 2002

Semiblind maximum-likelihood demodulation for CDMA systems.
IEEE Trans. Veh. Technol., 2002

Semiblind space-time decoding in wireless communications: a maximum likelihood approach.
Signal Process., 2002

Turbo aided maximum likelihood channel estimation for space-time coded systems.
Proceedings of the 13th IEEE International Symposium on Personal, 2002

Blind equalization by sequential importance sampling.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Parametric estimation of hidden signals by likelihood maximization.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

A novel channel coding scheme based on continuous-time chaotic dynamics.
Proceedings of the 14th International Conference on Digital Signal Processing, 2002

Sequential particle filtering in the presence of additive Gaussian noise with unknown parameters.
Proceedings of the IEEE International Conference on Acoustics, 2002

Decision-Feedback semiblind channel equalization in Space-Time Coded systems.
Proceedings of the IEEE International Conference on Acoustics, 2002

Likelihood-based selection of filtering parameters.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
A maximum likelihood approach to blind multiuser interference cancellation.
IEEE Trans. Signal Process., 2001

Semiblind linear multiuser interference cancellation: a maximum likelihood approach.
Signal Process., 2001

A novel blind diversity combining receiver for CDMA systems.
Proceedings of the Sixth International Symposium on Signal Processing and its Applications, 2001

Semiblind decision-feedback multiuser interference cancellation based on the maximum likelihood principle.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Blind and semiblind optimum demodulation in multiuser communications.
Proceedings of the IEEE International Conference on Acoustics, 2000

A semiblind approach to optimum multiuser detection.
Proceedings of the 10th European Signal Processing Conference, 2000

An information theoretic approach to blind Multiple Access Interference suppression.
Proceedings of the 10th European Signal Processing Conference, 2000

1998
A constant modulus blind adaptive receiver for multiuser interference suppression.
Signal Process., 1998

A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression.
IEEE Commun. Lett., 1998

Blind multiuser interference cancellation in multicarrier CDMA: a linearly constrained constant modulus approach.
Proceedings of the 9th IEEE International Symposium on Personal, 1998

A constant modulus approach to multiple access interference rejection.
Proceedings of the 9th European Signal Processing Conference, 1998


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