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2020 – today
- 2024
- [j55]José. A. Martínez-Ordoñez, Javier López-Santiago, Joaquín Míguez:
Maximum likelihood inference for a class of discrete-time Markov switching time series models with multiple delays. EURASIP J. Adv. Signal Process. 2024(1): 74 (2024) - [j54]Ömer Deniz Akyildiz, Dan Crisan, Joaquín Míguez:
Sequential Discretization Schemes for a Class of Stochastic Differential Equations and their Application to Bayesian Filtering. SIAM J. Numer. Anal. 62(2): 946-973 (2024) - [c63]José Manuel de Frutos, Pablo M. Olmos, Manuel Alberto Vazquez Lopez, Joaquín Míguez:
Training Implicit Generative Models via an Invariant Statistical Loss. AISTATS 2024: 2026-2034 - [i5]José Manuel de Frutos, Pablo M. Olmos, Manuel A. Vázquez, Joaquín Míguez:
Training Implicit Generative Models via an Invariant Statistical Loss. CoRR abs/2402.16435 (2024) - [i4]José Manuel de Frutos, Manuel A. Vázquez, Pablo M. Olmos, Joaquín Míguez:
Robust training of implicit generative models for multivariate and heavy-tailed distributions with an invariant statistical loss. CoRR abs/2410.22381 (2024) - 2023
- [j53]Alberto López-Yela, Joaquín Míguez:
Polynomial Propagation of Moments in Stochastic Differential Equations. SIAM J. Appl. Dyn. Syst. 22(2): 1153-1181 (2023) - [c62]Joaquín Míguez, Harold Y. Molina-Bulla, Inés P. Mariño:
A Sequential Monte Carlo Method for Parameter Estimation in Nonlinear Stochastic PDE's with Periodic Boundary Conditions. CAMSAP 2023: 86-90 - 2022
- [i3]Deniz Akyildiz, Dan Crisan, Joaquín Míguez:
Space-sequential particle filters for high-dimensional dynamical systems described by stochastic differential equations. CoRR abs/2204.07680 (2022) - 2021
- [j52]Ömer Deniz Akyildiz, Joaquín Míguez:
Convergence rates for optimised adaptive importance samplers. Stat. Comput. 31(2): 12 (2021) - [j51]Víctor Elvira, Joaquín Míguez, Petar M. Djuric:
On the performance of particle filters with adaptive number of particles. Stat. Comput. 31(6): 81 (2021) - [j50]Sara Pérez-Vieites, Joaquín Míguez:
Nested Gaussian filters for recursive Bayesian inference and nonlinear tracking in state space models. Signal Process. 189: 108295 (2021) - [i2]Alberto López-Yela, Joaquín Míguez:
Polynomial propagation of moments in stochastic differential equations. CoRR abs/2106.06271 (2021) - [i1]Luca Martino, Fernando Llorente, Ernesto Curbelo, Javier López-Santiago, Joaquín Míguez:
Automatic tempered posterior distributions for Bayesian inversion problems. CoRR abs/2107.11614 (2021) - 2020
- [j49]Dan Crisan, Alberto López-Yela, Joaquín Míguez:
Stable Approximation Schemes for Optimal Filters. SIAM/ASA J. Uncertain. Quantification 8(1): 483-509 (2020) - [j48]Ömer Deniz Akyildiz, Joaquín Míguez:
Nudging the particle filter. Stat. Comput. 30(2): 305-330 (2020) - [j47]Ömer Deniz Akyildiz, Dan Crisan, Joaquín Míguez:
Parallel sequential Monte Carlo for stochastic gradient-free nonconvex optimization. Stat. Comput. 30(6): 1645-1663 (2020) - [c61]Sara Pérez-Vieites, Joaquín Míguez:
Kalman-based nested hybrid filters for recursive inference in state-space models. EUSIPCO 2020: 2468-2472 - [c60]Sara Pérez-Vieites, Joaquín Míguez:
A nested hybrid filter for parameter estimation and state tracking in homogeneous multi-scale models. FUSION 2020: 1-8
2010 – 2019
- 2019
- [j46]Eugenia Koblents, Inés P. Mariño, Joaquín Míguez:
Bayesian Computation Methods for Inference in Stochastic Kinetic Models. Complex. 2019: 7160934:1-7160934:15 (2019) - [j45]Ömer Deniz Akyildiz, Joaquín Míguez:
Dictionary filtering: a probabilistic approach to online matrix factorisation. Signal Image Video Process. 13(4): 737-744 (2019) - [j44]Ömer Deniz Akyildiz, Emilie Chouzenoux, Víctor Elvira, Joaquín Míguez:
A Probabilistic Incremental Proximal Gradient Method. IEEE Signal Process. Lett. 26(8): 1257-1261 (2019) - [c59]Sara Pérez-Vieites, Jordi Vilà-Valls, Mónica F. Bugallo, Joaquín Míguez, Pau Closas:
Second Order Subspace Statistics for Adaptive State-Space Partitioning in Multiple Particle Filtering. CAMSAP 2019: 609-613 - [c58]Joaquín Míguez, Lucas Lacasa, José A. Martí nez-Ordóñer, Inés P. Mariño:
Multilayer Models of Random Sequences: Representability and Inference via Nonlinear Population Monte Carlo. CAMSAP 2019: 629-633 - 2018
- [j43]Dan Crisan, Joaquín Míguez, Gonzalo Rios-Muñoz:
On the performance of parallelisation schemes for particle filtering. EURASIP J. Adv. Signal Process. 2018: 31 (2018) - [j42]Joaquín Míguez, Inés P. Mariño, Manuel A. Vázquez:
Analysis of a nonlinear importance sampling scheme for Bayesian parameter estimation in state-space models. Signal Process. 142: 281-291 (2018) - [c57]Jordi Vilà-Valls, Pau Closas, Mónica F. Bugallo, Joaquín Míguez:
Distributed Multiple Gaussian Filtering for Multiple Target Localization in Wireless Sensor Networks. ACSSC 2018: 1439-1443 - [c56]Gonzalo Rios-Muñoz, Antonio Artés-Rodríguez, Joaquín Míguez:
Particle Filter Tracking of Complex Stochastic Systems Applied to In Silico Wavefront Propagation. CinC 2018: 1-4 - [c55]Ömer Deniz Akyildiz, Victor Elvira, Joaquín Míguez:
The Incremental Proximal Method: A Probabilistic Perspective. ICASSP 2018: 4279-4283 - [c54]Jordi Vilà-Valls, Pau Closas, Mónica F. Bugallo, Joaquín Míguez:
A Probabilistic Approach for Adaptive State-Space Partitioning. SSP 2018: 248-252 - [c53]Luca Martino, Victor Elvira, Joaquín Míguez, Antonio Artés-Rodríguez, Petar M. Djuric:
A Comparison Of Clipping Strategies For Importance Sampling. SSP 2018: 558-562 - 2017
- [j41]Manuel A. Vázquez, Joaquín Míguez:
A robust scheme for distributed particle filtering in wireless sensors networks. Signal Process. 131: 190-201 (2017) - [j40]Mónica F. Bugallo, Victor Elvira, Luca Martino, David Luengo, Joaquín Míguez, Petar M. Djuric:
Adaptive Importance Sampling: The past, the present, and the future. IEEE Signal Process. Mag. 34(4): 60-79 (2017) - [j39]Victor Elvira, Joaquín Míguez, Petar M. Djuric:
Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment. IEEE Trans. Signal Process. 65(7): 1781-1794 (2017) - [c52]Ömer Deniz Akyildiz, Inés P. Mariño, Joaquín Míguez:
Adaptive noisy importance sampling for stochastic optimization. CAMSAP 2017: 1-5 - [c51]Joaquín Míguez:
On the performance of nonlinear importance samplers and population Monte Carlo schemes. DSP 2017: 1-5 - 2016
- [j38]Mohammad Mostafa Asheghan, Joaquín Míguez:
Stability analysis and robust control of heart beat rate during treadmill exercise. Autom. 63: 311-320 (2016) - [j37]Eugenia Koblents, Joaquín Míguez, Marco A. Rodríguez, Alexandra M. Schmidt:
A nonlinear population Monte Carlo scheme for the Bayesian estimation of parameters of α-stable distributions. Comput. Stat. Data Anal. 95: 57-74 (2016) - [j36]Manuel A. Vázquez, Joaquín Míguez:
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: 276 (2016) - [j35]Joaquín Míguez, Manuel A. Vázquez:
A proof of uniform convergence over time for a distributed particle filter. Signal Process. 122: 152-163 (2016) - [c50]Victor Elvira, Joaquín Míguez, Petar M. Djuric:
Online adaptation of the number of particles of SMC methods. ICASSP 2016: 4378-4382 - [c49]Victor Elvira, Joaquín Míguez, Petar M. Djuric:
A novel algorithm for adapting the number of particles in particle filtering. SAM 2016: 1-5 - 2015
- [j34]Eugenia Koblents, Joaquín Míguez:
A population Monte Carlo scheme with transformed weights and its application to stochastic kinetic models. Stat. Comput. 25(2): 407-425 (2015) - [c48]Joaquín Míguez, Inés P. Mariño:
A nonlinear population Monte Carlo scheme for Bayesian parameter estimation in a stochastic intercellular network model. CAMSAP 2015: 497-500 - [c47]Joaquín Míguez, Dan Crisan, Inés P. Mariño:
Particle filtering for Bayesian parameter estimation in a high dimensional state space model. EUSIPCO 2015: 1241-1245 - 2014
- [j33]Jesse Read, Katrin Achutegui, Joaquín Míguez:
A distributed particle filter for nonlinear tracking in wireless sensor networks. Signal Process. 98: 121-134 (2014) - [c46]Joaquín Míguez:
On the uniform asymptotic convergence of a distributed particle filter. SAM 2014: 241-244 - 2013
- [j32]Isabel Valera, Bamrung Tau Sieskul, Joaquín Míguez:
On the maximum likelihood estimation of the ToA under an imperfect path loss exponent. EURASIP J. Wirel. Commun. Netw. 2013: 158 (2013) - [j31]Joaquín Míguez, Dan Crisan, Petar M. Djuric:
On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization. Stat. Comput. 23(1): 91-107 (2013) - [j30]Manuel A. Vázquez, Joaquín Míguez:
User Activity Tracking in DS-CDMA Systems. IEEE Trans. Veh. Technol. 62(7): 3188-3203 (2013) - [c45]Joaquín Míguez, Eugenia Koblents:
Particle filtering with transformed weights. CAMSAP 2013: 364-367 - [c44]Eugenia Koblents, Joaquín Míguez:
Robust mixture populationmonte Carlo scheme with adaptation of the number of components. EUSIPCO 2013: 1-5 - [c43]Eugenia Koblents, Joaquín Míguez:
A population Monte Carlo scheme for computational inference in high dimensional spaces. ICASSP 2013: 6318-6322 - 2012
- [j29]Katrin Achutegui, Joaquín Míguez, Javier Rodas, Carlos J. Escudero:
A multi-model sequential Monte Carlo methodology for indoor tracking: Algorithms and experimental results. Signal Process. 92(11): 2594-2613 (2012) - [j28]Cristina S. Maiz, Elisa M. Molanes-Lopez, Joaquín Míguez, Petar M. Djuric:
A Particle Filtering Scheme for Processing Time Series Corrupted by Outliers. IEEE Trans. Signal Process. 60(9): 4611-4627 (2012) - [e1]Javier Del Ser, Eduard A. Jorswieck, Joaquín Míguez, Marja Matinmikko, Daniel P. Palomar, Sancho Salcedo-Sanz, Sergio Gil-Lopez:
Mobile Lightweight Wireless Systems - Third International ICST Conference, MOBILIGHT 2011, Bilbao, Spain, May 9-10, 2011, Revised Selected Papers. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 81, Springer 2012, ISBN 978-3-642-29478-5 [contents] - 2011
- [j27]Luca Martino, Joaquín Míguez:
A generalization of the adaptive rejection sampling algorithm. Stat. Comput. 21(4): 633-647 (2011) - [j26]Manuel A. Vázquez, Joaquín Míguez:
A Per-Survivor Processing Receiver for MIMO Transmission Systems With One Unknown Channel Order Per Output. IEEE Trans. Veh. Technol. 60(9): 4415-4426 (2011) - [c42]Katrin Achutegui, Joaquín Míguez:
A parallel resampling scheme and its application to distributed particle filtering in wireless networks. CAMSAP 2011: 81-84 - [c41]Eugenia Koblents, Joaquín Míguez:
A population Monte Carlo method for Bayesian inference and its application to stochastic kinetic models. EUSIPCO 2011: 679-683 - [c40]Balakumar Balasingam, Miodrag Bolic, Petar M. Djuric, Joaquín Míguez:
Efficient distributed resampling for particle filters. ICASSP 2011: 3772-3775 - [c39]Katrin Achutegui, Javier Rodas, Carlos J. Escudero, Joaquín Míguez:
Bayesian Filtering Methods for Target Tracking in Mixed Indoor/Outdoor Environments. MOBILIGHT 2011: 169-185 - 2010
- [j25]Joaquín Míguez:
Analysis of a sequential Monte Carlo method for optimization in dynamical systems. Signal Process. 90(5): 1609-1622 (2010) - [j24]Luca Martino, Joaquín Míguez:
Generalized rejection sampling schemes and applications in signal processing. Signal Process. 90(11): 2981-2995 (2010) - [j23]Petar M. Djuric, Joaquín Míguez:
Assessment of nonlinear dynamic models by Kolmogorov-Smirnov statistics. IEEE Trans. Signal Process. 58(10): 5069-5079 (2010) - [c38]Luca Martino, Joaquín Míguez:
A rejection sampling scheme for posterior probability distributions via the ratio-of-uniforms method. EUSIPCO 2010: 174-178 - [c37]Petar M. Djuric, Pau Closas, Mónica F. Bugallo, Joaquín Míguez:
Evaluation of a method's robustness. ICASSP 2010: 3598-3601 - [c36]Elina Helander, Hanna Silén, Joaquín Míguez, Moncef Gabbouj:
Maximum a posteriori voice conversion using sequential monte carlo methods. INTERSPEECH 2010: 1716-1719 - [c35]Katrin Achutegui, Javier Rodas, Carlos J. Escudero, Joaquín Míguez:
A model-switching sequential Monte Carlo algorithm for indoor tracking with experimental RSS data. IPIN 2010: 1-8 - [c34]Manuel A. Vázquez, Joaquín Míguez:
Adaptive MLSD for MIMO transmission systems with unknown subchannel orders. ISWCS 2010: 451-455
2000 – 2009
- 2009
- [j22]Manuel A. Vázquez, Joaquín Míguez:
Maximum-Likelihood Sequence Detection in Time- and Frequency-Selective MIMO Channels With Unknown Order. IEEE Trans. Veh. Technol. 58(1): 499-504 (2009) - [c33]Katrin Achutegui, Luca Martino, Javier Rodas, Carlos J. Escudero, Joaquín Míguez:
A multi-model particle filtering algorithm for indoor tracking of mobile terminals using RSS data. CCA/ISIC 2009: 1702-1707 - [c32]Luca Martino, Joaquín Míguez:
New accept/reject methods for independent sampling from posterior probability distributions. EUSIPCO 2009: 1057-1061 - [c31]Luca Martino, Joaquín Míguez:
A novel rejection sampling scheme for posterior probability distributions. ICASSP 2009: 2921-2924 - [c30]Petar M. Djuric, Joaquín Míguez:
Model assessment with Kolmogorov-Smirnov statistics. ICASSP 2009: 2973-2976 - 2008
- [j21]Manuel A. Vázquez, Mónica F. Bugallo, Joaquín Míguez:
Sequential Monte Carlo methods for complexity-constrained MAP equalization of dispersive MIMO channels. Signal Process. 88(4): 1017-1034 (2008) - [c29]Joaquín Míguez:
Analysis of a sequential Monte Carlo optimization methodology. EUSIPCO 2008: 1-5 - [c28]Manuel A. Vázquez, Joaquín Míguez:
A per-survivor processing algorithm for maximum likelihood equalization of MIMO channels with unknown order. WSA 2008: 387-391 - 2007
- [j20]Joaquín Míguez:
Analysis of selection methods for cost-reference particle filtering with applications to maneuvering target tracking and dynamic optimization. Digit. Signal Process. 17(4): 787-807 (2007) - [j19]Joaquín Míguez:
Analysis of parallelizable resampling algorithms for particle filtering. Signal Process. 87(12): 3155-3174 (2007) - [c27]Joaquín Míguez, Antonio Artés-Rodríguez:
Distributed sequential Monte Carlo algorithms for node localization and target tracking in wireless sensor networks. EUSIPCO 2007: 896-900 - [c26]Mahesh Vemula, Joaquín Míguez, Antonio Artés-Rodríguez:
A Sequential Monte Carlo Method for Target Tracking in an Asynchronous Wireless Sensor Network. WPNC 2007: 49-54 - 2006
- [j18]Joaquín Míguez, Antonio Artés-Rodríguez:
Particle Filtering Algorithms for Tracking a Maneuvering Target Using a Network of Wireless Dynamic Sensors. EURASIP J. Adv. Signal Process. 2006 (2006) - [j17]Joaquín Míguez, Mónica F. Bugallo, Petar M. Djuric:
Erratum to "A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics". EURASIP J. Adv. Signal Process. 2006 (2006) - [c25]Joaquín Míguez, Antonio Artés-Rodríguez:
A particle filter for beacon-free node location and target tracking in sensor networks. EUSIPCO 2006: 1-4 - [c24]Manuel A. Vázquez, Joaquín Míguez:
SMC algorithms for approximate-map equalization of MIMO channels with polynomial complexity. EUSIPCO 2006: 1-5 - [c23]Joaquín Míguez, Antonio Artés-Rodríguez:
A Monte Carlo Method for Joint Node Location and Maneuvering Target Tracking in a Sensor Network. ICASSP (4) 2006: 989-992 - 2005
- [j16]Joaquín Míguez, Mónica F. Bugallo:
On the estimation of random unobserved signals by maximization of target likelihoods and its application to blind timing and phase recovery. Digit. Signal Process. 15(2): 171-190 (2005) - [j15]Tadesse Ghirmai, Mónica F. Bugallo, Joaquín Míguez, Petar M. Djuric:
A sequential Monte Carlo method for adaptive blind timing estimation and data detection. IEEE Trans. Signal Process. 53(8-1): 2855-2865 (2005) - [c22]Joaquín Míguez, Mónica F. Bugallo, Petar M. Djuric:
Decision fusion for distributed target tracking using cost reference particle filtering. EUSIPCO 2005: 1-4 - [c21]Joaquín Míguez, Shanshan Xu, Mónica F. Bugallo, Petar M. Djuric:
Joint estimation of states and transition functions of dynamic systems using cost-reference particle filtering. ICASSP (4) 2005: 361-364 - [c20]Manuel A. Vázquez, Joaquín Míguez:
A complexity-constrained particle filtering algorithm for MAP equalization of frequency-selective MIMO channels. ICASSP (3) 2005: 477-480 - 2004
- [j14]Miguel González-López, Joaquín Míguez, Luis Castedo:
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(5): 727-739 (2004) - [j13]Joaquín Míguez, Mónica F. Bugallo, Petar M. Djuric:
A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics. EURASIP J. Adv. Signal Process. 2004(15): 2278-2294 (2004) - [j12]Joaquín Míguez, Tadesse Ghirmai, Mónica F. Bugallo, Petar M. Djuric:
A sequential Monte Carlo technique for blind synchronization and detection in frequency-flat Rayleigh fading wireless channels. Signal Process. 84(11): 2081-2096 (2004) - [j11]Joaquín Míguez, Petar M. Djuric:
Blind equalization of frequency-selective channels by sequential importance sampling. IEEE Trans. Signal Process. 52(10): 2738-2748 (2004) - [c19]Petar M. Djuric, Mónica F. Bugallo, Joaquín Míguez:
Density assisted particle filters for state and parameter estimation. ICASSP (2) 2004: 701-704 - [c18]Tadesse Ghirmai, Joaquín Míguez, Mónica F. Bugallo, Petar M. Djuric:
A particle filter for blind timing recovery and data detection in fast fading wireless channels. ICASSP (4) 2004: 837-840 - [c17]Mónica F. Bugallo, Shanshan Xu, Joaquín Míguez, Petar M. Djuric:
Maneuvering target tracking using cost reference particle filtering. ICASSP (3) 2004: 968-971 - 2003
- [j10]Joaquín Míguez, Luis Castedo:
Space-time channel estimation and soft detection in time-varying multiaccess channels. Signal Process. 83(2): 389-411 (2003) - [j9]Mónica F. Bugallo, Joaquín Míguez, Luis Castedo:
Decision-feedback interference suppression in CDMA systems: a ML-based semiblind approach. Signal Process. 83(10): 2179-2193 (2003) - [j8]Petar M. Djuric, Jayesh H. Kotecha, Jianqui Zhang, Yufei Huang, Tadesse Ghirmai, Mónica F. Bugallo, Joaquín Míguez:
Particle filtering. IEEE Signal Process. Mag. 20(5): 19-38 (2003) - [c16]Miguel González-López, Joaquín Míguez, Luis Castedo:
Decision feedback turbo equalization for space-time coded systems. ICASSP (4) 2003: 425-428 - [c15]Tadesse Ghirmai, Mónica F. Bugallo, Joaquín Míguez, Petar M. Djuric:
Joint symbol detection and timing estimation using particle filtering. ICASSP (4) 2003: 596-599 - 2002
- [j7]Joaquín Míguez, Luis Castedo:
Semiblind space-time decoding in wireless communications: a maximum likelihood approach. Signal Process. 82(1): 1-18 (2002) - [j6]Joaquín Míguez, Luis Castedo:
Semiblind maximum-likelihood demodulation for CDMA systems. IEEE Trans. Veh. Technol. 51(4): 775-781 (2002) - [j5]Joaquín Míguez, Luis Castedo:
Maximum Likelihood Unsupervised Source Separation in Gaussian Noise. J. VLSI Signal Process. 31(1): 7-18 (2002) - [c14]Joaquín Míguez, Mónica F. Bugallo:
Likelihood-based selection of filtering parameters. EUSIPCO 2002: 1-4 - [c13]Petar M. Djuric, Joaquín Míguez:
Sequential particle filtering in the presence of additive Gaussian noise with unknown parameters. ICASSP 2002: 1621-1624 - [c12]Mónica F. Bugallo, Joaquín Míguez, Luis Castedo:
Decision-Feedback semiblind channel equalization in Space-Time Coded systems. ICASSP 2002: 2425-2428 - [c11]Joaquín Míguez, Mónica F. Bugallo:
Parametric estimation of hidden signals by likelihood maximization. DSP 2002: 143-146 - [c10]Inés P. Mariño, Luis López, Joaquín Míguez, Miguel A. F. Sanjuán:
A novel channel coding scheme based on continuous-time chaotic dynamics. DSP 2002: 1321-1324 - [c9]Joaquín Míguez, Petar M. Djuric:
Blind equalization by sequential importance sampling. ISCAS (1) 2002: 845-848 - [c8]Miguel González-López, Joaquín Míguez, Luis Castedo:
Turbo aided maximum likelihood channel estimation for space-time coded systems. PIMRC 2002: 364-368 - 2001
- [j4]Mónica F. Bugallo, Joaquín Míguez, Luis Castedo:
Semiblind linear multiuser interference cancellation: a maximum likelihood approach. Signal Process. 81(10): 2041-2057 (2001) - [j3]Mónica F. Bugallo, Joaquín Míguez, Luis Castedo:
A maximum likelihood approach to blind multiuser interference cancellation. IEEE Trans. Signal Process. 49(6): 1228-1239 (2001) - [c7]Mónica F. Bugallo, Joaquín Míguez, Luis Castedo:
Semiblind decision-feedback multiuser interference cancellation based on the maximum likelihood principle. ICASSP 2001: 2241-2244 - [c6]Mónica F. Bugallo, Joaquín Míguez, Luis Castedo:
A novel blind diversity combining receiver for CDMA systems. ISSPA 2001: 402-405 - 2000
- [c5]Mónica F. Bugallo, Joaquín Míguez, Luis Castedo:
An information theoretic approach to blind Multiple Access Interference suppression. EUSIPCO 2000: 1-4 - [c4]Joaquín Míguez, Mónica F. Bugallo, Luis Castedo:
A semiblind approach to optimum multiuser detection. EUSIPCO 2000: 1-4 - [c3]Joaquín Míguez, Luis Castedo:
Blind and semiblind optimum demodulation in multiuser communications. ICASSP 2000: 2917-2920
1990 – 1999
- 1998
- [j2]Joaquín Míguez, Luis Castedo:
A linearly constrained constant modulus approach to blind adaptive multiuser interference suppression. IEEE Commun. Lett. 2(8): 217-219 (1998) - [j1]Joaquín Míguez, Luis Castedo:
A constant modulus blind adaptive receiver for multiuser interference suppression. Signal Process. 71(1): 15-27 (1998) - [c2]Joaquín Míguez, Luis Castedo:
A constant modulus approach to multiple access interference rejection. EUSIPCO 1998: 1-4 - [c1]Joaquín Míguez, Luis Castedo:
Blind multiuser interference cancellation in multicarrier CDMA: a linearly constrained constant modulus approach. PIMRC 1998: 523-527
Coauthor Index
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