A constant modulus approach to multiple access interference rejection. - Joaquín Míguez; Luis Castedo (EUSIPCO, 1998)

Blind multiuser interference cancellation in multicarrier CDMA: a linearly constrained constant modulus approach. - Joaquín Míguez; Luis Castedo (PIMRC, 1998)

A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression. - Joaquín Míguez; Luis Castedo (IEEE Commun. Lett., 1998)

A constant modulus blind adaptive receiver for multiuser interference suppression. - Joaquín Míguez; Luis Castedo (Signal Process., 1998)

An information theoretic approach to blind Multiple Access Interference suppression. - Mónica F. Bugallo; Joaquín Míguez; Luis Castedo (EUSIPCO, 2000)

A semiblind approach to optimum multiuser detection. - Joaquín Míguez; Mónica F. Bugallo; Luis Castedo (EUSIPCO, 2000)

Blind and semiblind optimum demodulation in multiuser communications. - Joaquín Míguez; Luis Castedo (ICASSP, 2000)

Semiblind decision-feedback multiuser interference cancellation based on the maximum likelihood principle. - Mónica F. Bugallo; Joaquín Míguez; Luis Castedo (ICASSP, 2001)

A novel blind diversity combining receiver for CDMA systems. - Mónica F. Bugallo; Joaquín Míguez; Luis Castedo (ISSPA, 2001)

Semiblind linear multiuser interference cancellation: a maximum likelihood approach. - Mónica F. Bugallo; Joaquín Míguez; Luis Castedo (Signal Process., 2001)

A maximum likelihood approach to blind multiuser interference cancellation. - Mónica F. Bugallo; Joaquín Míguez; Luis Castedo (IEEE Trans. Signal Process., 2001)

Likelihood-based selection of filtering parameters. - Joaquín Míguez; Mónica F. Bugallo (EUSIPCO, 2002)

Decision-Feedback semiblind channel equalization in Space-Time Coded systems. - Mónica F. Bugallo; Joaquín Míguez; Luis Castedo (ICASSP, 2002)

Sequential particle filtering in the presence of additive Gaussian noise with unknown parameters. - Petar M. Djuric; Joaquín Míguez (ICASSP, 2002)

A novel channel coding scheme based on continuous-time chaotic dynamics. - Inés P. Mariño; Luis López; Joaquín Míguez; Miguel A. F. Sanjuán (DSP, 2002)

Parametric estimation of hidden signals by likelihood maximization. - Joaquín Míguez; Mónica F. Bugallo (DSP, 2002)

Blind equalization by sequential importance sampling. - Joaquín Míguez; Petar M. Djuric (ISCAS (1), 2002)

Turbo aided maximum likelihood channel estimation for space-time coded systems. - Miguel González-López; Joaquín Míguez; Luis Castedo (PIMRC, 2002)

Semiblind space-time decoding in wireless communications: a maximum likelihood approach. - Joaquín Míguez; Luis Castedo (Signal Process., 2002)

Semiblind maximum-likelihood demodulation for CDMA systems. - Joaquín Míguez; Luis Castedo (IEEE Trans. Veh. Technol., 2002)

Maximum Likelihood Unsupervised Source Separation in Gaussian Noise. - Joaquín Míguez; Luis Castedo (J. VLSI Signal Process., 2002)

Joint symbol detection and timing estimation using particle filtering. - Tadesse Ghirmai; Mónica F. Bugallo; Joaquín Míguez; Petar M. Djuric (ICASSP (4), 2003)

Decision feedback turbo equalization for space-time coded systems. - Miguel González-López; Joaquín Míguez; Luis Castedo (ICASSP (4), 2003)

Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach. - Mónica F. Bugallo; Joaquín Míguez; Luis Castedo (Signal Process., 2003)

Space-time channel estimation and soft detection in time-varying multiaccess channels. - Joaquín Míguez; Luis Castedo (Signal Process., 2003)

Particle filtering. - Petar M. Djuric; Jayesh H. Kotecha; Jianqui Zhang; Yufei Huang 001; Tadesse Ghirmai; Mónica F. Bugallo; Joaquín Míguez (IEEE Signal Process. Mag., 2003)

Maneuvering target tracking using cost reference particle filtering. - Mónica F. Bugallo; Shanshan Xu; Joaquín Míguez; Petar M. Djuric (ICASSP (3), 2004)

Density assisted particle filters for state and parameter estimation. - Petar M. Djuric; Mónica F. Bugallo; Joaquín Míguez (ICASSP (2), 2004)

A particle filter for blind timing recovery and data detection in fast fading wireless channels. - Tadesse Ghirmai; Joaquín Míguez; Mónica F. Bugallo; Petar M. Djuric (ICASSP (4), 2004)

Maximum Likelihood Turbo Iterative Channel Estimation for Space-Time Coded Systems and Its Application to Radio Transmission in Subway Tunnels. - Miguel González-López; Joaquín Míguez; Luis Castedo (EURASIP J. Adv. Signal Process., 2004)

A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics. - Joaquín Míguez; Mónica F. Bugallo; Petar M. Djuric (EURASIP J. Adv. Signal Process., 2004)

A sequential Monte Carlo technique for blind synchronization and detection in frequency-flat Rayleigh fading wireless channels. - Joaquín Míguez; Tadesse Ghirmai; Mónica F. Bugallo; Petar M. Djuric (Signal Process., 2004)

Blind equalization of frequency-selective channels by sequential importance sampling. - Joaquín Míguez; Petar M. Djuric (IEEE Trans. Signal Process., 2004)

Decision fusion for distributed target tracking using cost reference particle filtering. - Joaquín Míguez; Mónica F. Bugallo; Petar M. Djuric (EUSIPCO, 2005)

Joint estimation of states and transition functions of dynamic systems using cost-reference particle filtering. - Joaquín Míguez; Shanshan Xu; Mónica F. Bugallo; Petar M. Djuric (ICASSP (4), 2005)

A complexity-constrained particle filtering algorithm for MAP equalization of frequency-selective MIMO channels. - Manuel A. Vázquez; Joaquín Míguez (ICASSP (3), 2005)

On the estimation of random unobserved signals by maximization of target likelihoods and its application to blind timing and phase recovery. - Joaquín Míguez; Mónica F. Bugallo (Digit. Signal Process., 2005)

A sequential Monte Carlo method for adaptive blind timing estimation and data detection. - Tadesse Ghirmai; Mónica F. Bugallo; Joaquín Míguez; Petar M. Djuric (IEEE Trans. Signal Process., 2005)

A particle filter for beacon-free node location and target tracking in sensor networks. - Joaquín Míguez; Antonio Artés-Rodríguez (EUSIPCO, 2006)

SMC algorithms for approximate-map equalization of MIMO channels with polynomial complexity. - Manuel A. Vázquez; Joaquín Míguez (EUSIPCO, 2006)

A Monte Carlo Method for Joint Node Location and Maneuvering Target Tracking in a Sensor Network. - Joaquín Míguez; Antonio Artés-Rodríguez (ICASSP (4), 2006)

Particle Filtering Algorithms for Tracking a Maneuvering Target Using a Network of Wireless Dynamic Sensors. - Joaquín Míguez; Antonio Artés-Rodríguez (EURASIP J. Adv. Signal Process., 2006)

Erratum to "A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics". - Joaquín Míguez; Mónica F. Bugallo; Petar M. Djuric (EURASIP J. Adv. Signal Process., 2006)

Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks. - Joaquín Míguez; Antonio Artés-Rodríguez (EUSIPCO, 2007)

A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network. - Mahesh Vemula; Joaquín Míguez; Antonio Artés-Rodríguez (WPNC, 2007)

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

Analysis of parallelizable resampling algorithms for particle filtering. - Joaquín Míguez (Signal Process., 2007)

Analysis of a sequential Monte Carlo optimization methodology. - Joaquín Míguez (EUSIPCO, 2008)

A per-survivor processing algorithm for maximum likelihood equalization of MIMO channels with unknown order. - Manuel A. Vázquez; Joaquín Míguez (WSA, 2008)

Sequential Monte Carlo methods for complexity-constrained MAP equalization of dispersive MIMO channels. - Manuel A. Vázquez; Mónica F. Bugallo; Joaquín Míguez (Signal Process., 2008)

A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data. - Katrin Achutegui; Luca Martino; Javier Rodas; Carlos J. Escudero; Joaquín Míguez (CCA/ISIC, 2009)

New accept/reject methods for independent sampling from posterior probability distributions. - Luca Martino; Joaquín Míguez (EUSIPCO, 2009)

Model assessment with Kolmogorov-Smirnov statistics. - Petar M. Djuric; Joaquín Míguez (ICASSP, 2009)

A novel rejection sampling scheme for posterior probability distributions. - Luca Martino; Joaquín Míguez (ICASSP, 2009)

Maximum-Likelihood Sequence Detection in Time- and Frequency-Selective MIMO Channels With Unknown Order. - Manuel A. Vázquez; Joaquín Míguez (IEEE Trans. Veh. Technol., 2009)

A rejection sampling scheme for posterior probability distributions via the ratio-of-uniforms method. - Luca Martino; Joaquín Míguez (EUSIPCO, 2010)

Evaluation of a method's robustness. - Petar M. Djuric; Pau Closas; Mónica F. Bugallo; Joaquín Míguez (ICASSP, 2010)

Maximum a posteriori voice conversion using sequential monte carlo methods. - Elina Helander; Hanna Silén; Joaquín Míguez; Moncef Gabbouj (INTERSPEECH, 2010)

A model-switching sequential Monte Carlo algorithm for indoor tracking with experimental RSS data. - Katrin Achutegui; Javier Rodas; Carlos J. Escudero; Joaquín Míguez (IPIN, 2010)

Adaptive MLSD for MIMO transmission systems with unknown subchannel orders. - Manuel A. Vázquez; Joaquín Míguez (ISWCS, 2010)

Generalized rejection sampling schemes and applications in signal processing. - Luca Martino; Joaquín Míguez (Signal Process., 2010)

Analysis of a sequential Monte Carlo method for optimization in dynamical systems. - Joaquín Míguez (Signal Process., 2010)

Assessment of nonlinear dynamic models by Kolmogorov-Smirnov statistics. - Petar M. Djuric; Joaquín Míguez (IEEE Trans. Signal Process., 2010)

A parallel resampling scheme and its application to distributed particle filtering in wireless networks. - Katrin Achutegui; Joaquín Míguez (CAMSAP, 2011)

A population Monte Carlo method for Bayesian inference and its application to stochastic kinetic models. - Eugenia Koblents; Joaquín Míguez (EUSIPCO, 2011)

Efficient distributed resampling for particle filters. - Balakumar Balasingam; Miodrag Bolic; Petar M. Djuric; Joaquín Míguez (ICASSP, 2011)

Bayesian Filtering Methods for Target Tracking in Mixed Indoor/Outdoor Environments. - Katrin Achutegui; Javier Rodas; Carlos J. Escudero; Joaquín Míguez (MOBILIGHT, 2011)

A generalization of the adaptive rejection sampling algorithm. - Luca Martino; Joaquín Míguez (Stat. Comput., 2011)

A Per-Survivor Processing Receiver for MIMO Transmission Systems With One Unknown Channel Order Per Output. - Manuel A. Vázquez; Joaquín Míguez (IEEE Trans. Veh. Technol., 2011)

A multi-model sequential Monte Carlo methodology for indoor tracking: Algorithms and experimental results. - Katrin Achutegui; Joaquín Míguez; Javier Rodas; Carlos J. Escudero (Signal Process., 2012)

A Particle Filtering Scheme for Processing Time Series Corrupted by Outliers. - Cristina S. Maiz; Elisa M. Molanes-Lopez; Joaquín Míguez; Petar M. Djuric (IEEE Trans. Signal Process., 2012)

Particle filtering with transformed weights. - Joaquín Míguez; Eugenia Koblents (CAMSAP, 2013)

Robust mixture populationmonte Carlo scheme with adaptation of the number of components. - Eugenia Koblents; Joaquín Míguez (EUSIPCO, 2013)

A population Monte Carlo scheme for computational inference in high dimensional spaces. - Eugenia Koblents; Joaquín Míguez (ICASSP, 2013)

On the maximum likelihood estimation of the ToA under an imperfect path loss exponent. - Isabel Valera; Bamrung Tau Sieskul; Joaquín Míguez (EURASIP J. Wirel. Commun. Netw., 2013)

On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization. - Joaquín Míguez; Dan Crisan; Petar M. Djuric (Stat. Comput., 2013)

User Activity Tracking in DS-CDMA Systems. - Manuel A. Vázquez; Joaquín Míguez (IEEE Trans. Veh. Technol., 2013)

On the uniform asymptotic convergence of a distributed particle filter. - Joaquín Míguez (SAM, 2014)

A distributed particle filter for nonlinear tracking in wireless sensor networks. - Jesse Read; Katrin Achutegui; Joaquín Míguez (Signal Process., 2014)

A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model. - Joaquín Míguez; Inés P. Mariño (CAMSAP, 2015)

Particle filtering for Bayesian parameter estimation in a high dimensional state space model. - Joaquín Míguez; Dan Crisan; Inés P. Mariño (EUSIPCO, 2015)

A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models. - Eugenia Koblents; Joaquín Míguez (Stat. Comput., 2015)

Online adaptation of the number of particles of SMC methods. - Victor Elvira; Joaquín Míguez; Petar M. Djuric (ICASSP, 2016)

A novel algorithm for adapting the number of particles in particle filtering. - Victor Elvira; Joaquín Míguez; Petar M. Djuric (SAM, 2016)

Stability analysis and robust control of heart beat rate during treadmill exercise. - Mohammad Mostafa Asheghan; Joaquín Míguez (Autom., 2016)

A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions. - Eugenia Koblents; Joaquín Míguez; Marco A. Rodríguez; Alexandra M. Schmidt (Comput. Stat. Data Anal., 2016)

On the use of the channel second-order statistics in MMSE receivers for time- and frequency-selective MIMO transmission systems. - Manuel A. Vázquez; Joaquín Míguez (EURASIP J. Wirel. Commun. Netw., 2016)

A proof of uniform convergence over time for a distributed particle filter. - Joaquín Míguez; Manuel A. Vázquez (Signal Process., 2016)

Adaptive noisy importance sampling for stochastic optimization. - Ömer Deniz Akyildiz; Inés P. Mariño; Joaquín Míguez (CAMSAP, 2017)

On the performance of nonlinear importance samplers and population Monte Carlo schemes. - Joaquín Míguez (DSP, 2017)

A robust scheme for distributed particle filtering in wireless sensors networks. - Manuel A. Vázquez; Joaquín Míguez (Signal Process., 2017)

Adaptive Importance Sampling: The past, the present, and the future. - Mónica F. Bugallo; Victor Elvira; Luca Martino; David Luengo; Joaquín Míguez; Petar M. Djuric (IEEE Signal Process. Mag., 2017)

Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment. - Victor Elvira; Joaquín Míguez; Petar M. Djuric (IEEE Trans. Signal Process., 2017)

Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks. - Jordi Vilà-Valls; Pau Closas; Mónica F. Bugallo; Joaquín Míguez (ACSSC, 2018)

Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation. - Gonzalo Rios-Muñoz; Antonio Artés-Rodríguez; Joaquín Míguez (CinC, 2018)

The Incremental Proximal Method: A Probabilistic Perspective. - Ömer Deniz Akyildiz; Victor Elvira; Joaquín Míguez (ICASSP, 2018)

A Comparison Of Clipping Strategies For Importance Sampling. - Luca Martino; Victor Elvira; Joaquín Míguez; Antonio Artés-Rodríguez; Petar M. Djuric (SSP, 2018)

A Probabilistic Approach for Adaptive State-Space Partitioning. - Jordi Vilà-Valls; Pau Closas; Mónica F. Bugallo; Joaquín Míguez (SSP, 2018)

On the performance of parallelisation schemes for particle filtering. - Dan Crisan; Joaquín Míguez; Gonzalo Rios-Muñoz (EURASIP J. Adv. Signal Process., 2018)

Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models. - Joaquín Míguez; Inés P. Mariño; Manuel A. Vázquez (Signal Process., 2018)

Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo. - Joaquín Míguez; Lucas Lacasa; José A. Martínez-Ordóñer; Inés P. Mariño (CAMSAP, 2019)

Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering. - Sara Pérez-Vieites; Jordi Vilà-Valls; Mónica F. Bugallo; Joaquín Míguez; Pau Closas (CAMSAP, 2019)

Bayesian Computation Methods for Inference in Stochastic Kinetic Models. - Eugenia Koblents; Inés P. Mariño; Joaquín Míguez (Complex., 2019)

Dictionary filtering: a probabilistic approach to online matrix factorisation. - Ömer Deniz Akyildiz; Joaquín Míguez (Signal Image Video Process., 2019)

A Probabilistic Incremental Proximal Gradient Method. - Ömer Deniz Akyildiz; Emilie Chouzenoux; Víctor Elvira; Joaquín Míguez (IEEE Signal Process. Lett., 2019)

Kalman-based nested hybrid filters for recursive inference in state-space models. - Sara Pérez-Vieites; Joaquín Míguez (EUSIPCO, 2020)

A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models. - Sara Pérez-Vieites; Joaquín Míguez (FUSION, 2020)

Stable Approximation Schemes for Optimal Filters. - Dan Crisan; Alberto López-Yela; Joaquín Míguez (SIAM/ASA J. Uncertain. Quantification, 2020)

Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization. - Ömer Deniz Akyildiz; Dan Crisan; Joaquín Míguez (Stat. Comput., 2020)

Nudging the particle filter. - Ömer Deniz Akyildiz; Joaquín Míguez (Stat. Comput., 2020)

Automatic tempered posterior distributions for Bayesian inversion problems. - Luca Martino; Fernando Llorente 001; Ernesto Curbelo; Javier López-Santiago; Joaquín Míguez (CoRR, 2021)

Convergence rates for optimised adaptive importance samplers. - Ömer Deniz Akyildiz; Joaquín Míguez (Stat. Comput., 2021)

On the performance of particle filters with adaptive number of particles. - Víctor Elvira; Joaquín Míguez; Petar M. Djuric (Stat. Comput., 2021)

Nested Gaussian filters for recursive Bayesian inference and nonlinear tracking in state space models. - Sara Pérez-Vieites; Joaquín Míguez (Signal Process., 2021)

Space-sequential particle filters for high-dimensional dynamical systems described by stochastic differential equations. - Deniz Akyildiz; Dan Crisan; Joaquín Míguez (CoRR, 2022)

A Sequential Monte Carlo Method for Parameter Estimation in Nonlinear Stochastic PDE's with Periodic Boundary Conditions. - Joaquín Míguez; Harold Y. Molina-Bulla; Inés P. Mariño (CAMSAP, 2023)

Polynomial Propagation of Moments in Stochastic Differential Equations. - Alberto López-Yela; Joaquín Míguez (SIAM J. Appl. Dyn. Syst., 2023)

A Bayesian-Inspired Approach to Passive Radar Detection. - David Ramírez 001; Joaquín Míguez; Ignacio Santamaría; Louis L. Scharf (IEEECONF, 2024)

Training Implicit Generative Models via an Invariant Statistical Loss. - José Manuel de Frutos; Pablo M. Olmos; Manuel Alberto Vazquez Lopez; Joaquín Míguez (AISTATS, 2024)

Training Implicit Generative Models via an Invariant Statistical Loss. - José Manuel de Frutos; Pablo M. Olmos; Manuel A. Vázquez; Joaquín Míguez (CoRR, 2024)

Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss. - José Manuel de Frutos; Manuel A. Vázquez; Pablo M. Olmos; Joaquín Míguez (CoRR, 2024)

Gaussian entropic optimal transport: Schrödinger bridges and the Sinkhorn algorithm. - Ömer Deniz Akyildiz; Pierre Del Moral; Joaquín Míguez (CoRR, 2024)

Sequential Discretization Schemes for a Class of Stochastic Differential Equations and their Application to Bayesian Filtering. - Ömer Deniz Akyildiz; Dan Crisan; Joaquín Míguez (SIAM J. Numer. Anal., 2024)

Maximum likelihood inference for a class of discrete-time Markov switching time series models with multiple delays. - José. A. Martínez-Ordoñez; Javier López-Santiago; Joaquín Míguez (EURASIP J. Adv. Signal Process., 2024)

Explicit Density Approximation for Neural Implicit Samplers Using a Bernstein-Based Convex Divergence. - José Manuel de Frutos; Manuel A. Vázquez; Pablo M. Olmos; Joaquín Míguez (CoRR, 2025)

Nudging state-space models for Bayesian filtering under misspecified dynamics. - Fabián González; Ömer Deniz Akyildiz; Dan Crisan; Joaquín Míguez (Stat. Comput., 2025)