Joaquin Miguez - Google Scholar Citations

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Luis CastedoProfessor, Computer Enginering Department, University of A Coruña, SpainVerified email at udc.es
Luca MartinoUniversidad Rey Juan Carlos (URJC)Verified email at urjc.es
Ines P. MarinoUniversidad Rey Juan CarlosVerified email at urjc.es
Dan CrisanProfessor of Mathematics, Imperial College LondonVerified email at imperial.ac.uk
Manuel A. VázquezUniversidad Carlos III de MadridVerified email at tsc.uc3m.es
Eugenia KoblentsSenior Machine Learning Scientist, United Technologies Research Center IrelandVerified email at utrc.utc.com
David LuengoUniversidad Politécnica de Madrid (UPM)Verified email at upm.es
Antonio Artés RodríguezProfessor, Dept. of Signal Theory and Communications, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
Víctor ElviraReader (Associate Professor), University of EdinburghVerified email at ed.ac.uk
Yufei HuangUniversity of Texas at San AntonioVerified email at utsa.edu
Ömer Deniz AkyildizResearch Fellow, The Alan Turing Institute and University of WarwickVerified email at warwick.ac.uk
Mohammad Mostafa AsheghanPostdoc researcher, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
Laura Martin-FernandezPostdoctoral Researcher, University of Granada.Verified email at ugr.es
Carlos J. EscuderoProfessor of Computer Engineering, University of A CoruñaVerified email at udc.es
Gonzalo R. Ríos MuñozDepartment of Signal Processing, Universidad Carlos III de MadridVerified email at tsc.uc3m.es
Jesse ReadÉcole PolytechniqueVerified email at polytechnique.edu
Antonio J. TorijaUniversity of SouhamptonVerified email at soton.ac.uk
Elisa M. Molanes-LópezDepto. de Estadística e Investigación Operativa, UCMVerified email at ucm.es
Alexandra M. SchmidtMcGill University, CanadaVerified email at mcgill.ca
Marco A. RodríguezUniversité du Québec à Trois-RivièresVerified email at uqtr.ca

Joaquin Miguez

Department of Signal Theory & Communications, Universidad Carlos III de Madrid

Verified email at tsc.uc3m.es - Homepage

Applied probability statistical signal processing computational statistics Monte Carlo dynamical systems


Title	Cited by	Year
Particle filtering PM Djuric, JH Kotecha, J Zhang, Y Huang, T Ghirmai, MF Bugallo, ... IEEE signal processing magazine 20 (5), 19-38, 2003	1019	2003
A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression J Miguez, L Castedo IEEE Communications Letters 2 (8), 217-219, 1998	137	1998
A new class of particle filters for random dynamic systems with unknown statistics J Míguez, MF Bugallo, PM Djurić EURASIP Journal on Applied Signal Processing 2004, 2278-2294, 2004	110	2004
Analysis of parallelizable resampling algorithms for particle filtering J Míguez Signal Processing 87 (12), 3155-3174, 2007	88	2007
Blind equalization of frequency-selective channels by sequential importance sampling J Míguez, PM Djuric IEEE Transactions on Signal Processing 52 (10), 2738-2748, 2004	55	2004
A sequential Monte Carlo method for adaptive blind timing estimation and data detection T Ghirmai, MF Bugallo, J Míguez, PM Djuric IEEE Transactions on Signal Processing 53 (8), 2855-2865, 2005	54	2005
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models E Koblents, J Míguez Statistics and Computing 25 (2), 407-425, 2015	53	2015
A distributed particle filter for nonlinear tracking in wireless sensor networks J Read, K Achutegui, J Míguez Signal Processing 98, 121-134, 2014	48	2014
Robust outer synchronization between two complex networks with fractional order dynamics MM Asheghan, J Míguez, MT Hamidi-Beheshti, MS Tavazoei Chaos: An Interdisciplinary Journal of Nonlinear Science 21 (3), 033121, 2011	48	2011
Particle-kernel estimation of the filter density in state-space models D Crisan, J Míguez Bernoulli 20 (4), 1879-1929, 2014	44*	2014
Nested particle filters for online parameter estimation in discrete-time state-space Markov models D Crisan, J Miguez Bernoulli 24 (4A), 3039-3086, 2018	43	2018
Blind equalization by sequential importance sampling J Miguez, PM Djuric 2002 IEEE International Symposium on Circuits and Systems. Proceedings (Cat …, 2002	40	2002
Adaptive importance sampling: the past, the present, and the future MF Bugallo, V Elvira, L Martino, D Luengo, J Miguez, PM Djuric IEEE Signal Processing Magazine 34 (4), 60-79, 2017	38	2017
On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization J Míguez, D Crisan, PM Djurić Statistics and Computing 23 (1), 91-107, 2013	36*	2013
Analysis of selection methods for cost-reference particle filtering with applications to maneuvering target tracking and dynamic optimization J Míguez Digital Signal Processing 17 (4), 787-807, 2007	36	2007
A generalization of the adaptive rejection sampling algorithm L Martino, J Míguez Statistics and Computing 21 (4), 633-647, 2011	35	2011
Density assisted particle filters for state and parameter estimation PM Djuric, MF Bugallo, J Míguez 2004 IEEE International Conference on Acoustics, Speech, and Signal …, 2004	35	2004
Generalized rejection sampling schemes and applications in signal processing L Martino, J Míguez Signal Processing 90 (11), 2981-2995, 2010	34	2010
A particle filtering scheme for processing time series corrupted by outliers CS Maiz, EM Molanes-Lopez, J Miguez, PM Djuric IEEE Transactions on Signal Processing 60 (9), 4611-4627, 2012	33	2012
A maximum likelihood approach to blind multiuser interference cancellation MF Bugallo, J Míguez, L Castedo IEEE transactions on signal processing 49 (6), 1228-1239, 2001	32	2001

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