School of Mathematics
University of Edinburgh James Clerk Maxwell Building
The King's Buildings
Peter Guthrie Tait Road
Edinburgh
EH9 3FD
United Kingdom
Journal papers
B. Cox, V. Elvira, "Sparse Bayesian Estimation of Parameters in Linear-Gaussian State-Space Models", to appear in IEEE Transactions on Signal Processing, 2023.
R. King, B. Sarzo, and V. Elvira, "When Ecological Individual Heterogeneity Models and Large Data Collide: An Importance Sampling Approach", to appear in Annals of Applied Statistics, 2023.
K. Newman, R. King, V. Elvira, P. de Valpine, R. S. McCrea, and B. J. T. Morgan, "State-space Models for
for Ecological Time Series Data: Practical Model-fitting", Ecology and Evolution, vol. 1, issue 1, p. 26-42,
2023.
M. Agarwal, D. Vats, V. Elvira, "A principled stopping rule for importance sampling", Electronic Journal of Statistics, vol. 16, issue 2, p. 5570 - 5590, 2022.
[arXiv]
V. Elvira, É. Chouzenoux, "Graphical Inference in Linear-Gaussian State-Space Models", IEEE Transactions on Signal Processing, Vol. 70, pp. 4757-4771, 2022.
V. Elvira, É. Chouzenoux, "Optimized Population Monte Carlo", IEEE Transactions on Signal Processing, Vol. 70, pp. 2489 - 2501, 2022.
[arXiv]
V. Elvira, L. Martino, C. P. Robert, "Rethinking the Effective Sample Size", International Statistical Review, vol. 90, issue 3, p. 525-550, 2022.
[arXiv]
F. Llorente, E. Curbelo, L. Martino, V. Elvira, D. Delgado, "MCMC-driven importance samplers", Applied Mathematical Modelling, vol. 111, pp. 310-331, 2022.
[arXiv]
C. Liu, K. Di, T. Li, and V. Elvira, "A sensor selection approach to maneuvering target tracking based on
trajectory function of time", EURASIP Journal Advances in Signal Processing, vol. 2022, no 72, p. 1-14,
2022.
M. Sbert, V. Elvira, "Generalizing the Balance Heuristic Estimator in Multiple Importance Sampling",
Entropy, vol. 24, issue 2, 191, 2022.
[arXiv]
V. Elvira, J. Miguez, P. M. Djuric, "On the performance of particle filters with adaptive number of
particles", Statistics and Computing, Vol. 31, No. 6, pp. 1-18, 2021.
[arXiv]
I. Santamaría, V. Elvira "An Efficient Sampling Scheme for the Eigenvalues of Dual Wishart Matrices",
IEEE Signal Processing Letters, vol. 28, pp. 2177-2181, March, 2021.
A. Koppel, A. S. Bedi, B. M. Sadler, V. Elvira, "Nearly Consistent Finite Particle Estimates
in Streaming Importance Sampling", IEEE Transactions on Signal Processing, Vol. 69, pp. 6401-6415, 2021.
[arXiv]
Y. Huang, É. Chouzenoux, and V. Elvira, "Probabilistic modeling and inference for sequential
space-varying blur identification", IEEE Transactions on Computational Imaging, vol. 7, pp. 531-546, 2021.
M. Sbert, J. Poch, S. Chen, V. Elvira
, "Stochastic order and generalized weighted mean invariance", Entropy, vol. 23, issue 6, pp 1–19, 2021.
[pdf]
V. Elvira, I. Santarmaría, "Multiple Importance Sampling for Symbol Error Rate Estimation of
Maximum-Likelihood Detectors in MIMO Channels'', IEEE Transactions on Signal Processing, vol. 69, pp. 1200 -
1212, January, 2021. [pdf]
V. Elvira, P. Closas, L. Martino, "Importance Gaussian Quadrature'', IEEE Transactions on Signal
Processing, vol. 69, pp. 474 - 488, January, 2021.
[arXiv][pdf]
S. Sharma, V. Elvira, A. Majumdar, E. Chouzenoux, "Recurrent Dictionary Learning for State-Space Models
with an Application in Stock Forecasting", Neurocomputing, vol. 450, pp. 1-13, 2021.
[pdf]
L. Martino, V. Elvira, J. López-Santiago and G. Camps-Valls, "Compressed particle methods for expensive
models with application in Astronomy and Remote Sensing", IEEE Transactions on Aerospace and Electronic
Systems, vol. 57, issue 5, pp. 2607-2621, 2021.
[pdf]
A. Mousavi, R. Monsefi, and V. Elvira, "Hamiltonian Adaptive Importance Sampling", IEEE Signal Processing
Letters, vol. 28, pp. 713-717, March, 2021.
I. Moreno-Torres, V. Meca, L. Costa-
Frossard, C. Oreja-Guevara, C. Aguirre, E.
Suarez, M. Gomez, L. Borrega, J. Sabin, Y, Aladro, A. Carcamo, E. Rodriguez, J. Cuello, E. Monreal, S.
Sainz,
F. Perez, F. Valenzuela, C. Lopez de Silanes, L. Casanova, M. Martinez, M. Blasco, A. Orviz, L. Villar-
Guimerans, G. Fernandez-Dono, V. Elvira, C. Santiuste, M. Espino, Jose García, "Risk and outcomes of
COVID-19 in patients with multiple sclearosis", European Journal of Neurology, Vol. 28, issue 11, pp.
3384–3395, 2021.
F. Llorente, L. Martino, V. Elvira, D. Delgado, J. Lopez-Santiago, "Adaptive quadrature schemes for
Bayesian inference via active learning'', IEEE Access, vol 8, p. 208462 - 208483, 2020.
[pdf]
L. Martino, V. Elvira, "Compressed Monte Carlo with application in particle filtering", Information
Sciences", vol. 553, pp. 331-352, 2021.
[pdf]
S. Sharma, A. Majumdar, V. Elvira, E. Chouzenoux, "Blind Kalman Filtering for Short-term Load
Forecasting", IEEE Transactions on Power Systems, vol. 35, no 6, p. 4916-4919, 2020.
[pdf]
V. Elvira, L. Martino, "Advances in Importance Sampling", Wiley StatsRef: Statistics Reference Online,
pp. 1-14, 2021.
[pdf]
D. Luengo, L. Martino, M. F. Bugallo, V. Elvira, S. Sarkka, "A Survey of Monte Carlo Methods for
Parameter Estimation", EURASIP Journal Advances in Signal Processing, vol. 2020, no 1, p. 1-62, 2020.
[pdf]
V. Elvira, L. Martino, M. F. Bugallo, and P. M. Djuric, "Elucidating the auxiliary particle filter via
multiple importance sampling",vol. 36, no 6, p. 145-152, IEEE Signal Processing Magazine, 2019.
[pdf]
V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Generalized Multiple Importance Sampling",
Statistical Science, Vol. 34, no. 1, pp. 129-155, 2019.
[arXiv][pdf]
V. Elvira, I. Santamaría, "Multiple Importance Sampling for Efficient Symbol Error Rate Estimation", IEEE
Signal Processing Letters, vol. 26, no. 3, pp. 420-424, March, 2019.
[arXiv][pdf]
Ö. D. Akyildiz, É. Chouzenoux, V. Elvira, J. Míguez, "A probabilistic incremental proximal gradient
method", IEEE Signal Processing Letters, Vol. 26, no. 6, pp. 1257-1261, July, 2019.
[arXiv]
C. P. Robert, V. Elvira, N. Tawn, C. Wu, "Accelerating MCMC Algorithms", WIREs Computational Statistics,
vol. 10, no. 5, e1435, 2018. [arXiv][pdf]
L. Martino, V. Elvira, G. Camps-Valls, "Group Importance Sampling for Particle Filtering and MCMC",
Digital Signal Processing, vol. 82, pp. 133-151, 2018.
[arXiv]
Y. El-Laham, V. Elvira, M. F. Bugallo, "Robust Covariance Adaptation in Adaptive Importance Sampling",
IEEE Signal Processing Letters, vol. 25, no. 7, pp. 1049-1053, July, 2018.
[arXiv][pdf]
T. Li, V. Elvira, H. Fan, and J. M. Corchado, "Local Diffusion based Distributed SMC-PHD Filtering Using
Sensors with Limited Sensing Range", IEEE Sensors, Vol. 19, no. 4, pp. 1580-1589, February, 2019.
I. Moreno-Torres, C. González, M. Marconi, A. García, L. Rodriguez, V. Elvira, E. Ramil, L. Campos, R.
García, F. Al-Shahrour, C. Fustero, A. Sánchez, A. García-Merino, A. Sánchez-López, "Immunophenotype and
Transcriptome Profile of Patients with Multiple Sclerosis Treated with Fingolimod. Setting Up a Model for
Prediction of Response in a 2-Year Translational Study", Frontiers in Immunology, vol. 9, no. 1693, 2018.
D. Luengo, G. Ríos-Muñoz, V. Elvira, C. Sánchez, A. Artés-Rodríguez, "Hierarchical Algorithms for
Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms", IEEE Journal of Biomedical and
Health Informatics, vol. 12, no. 1, pp. 143-155, January, 2019.
M. Sbert, H. Havran, L. Szirmay-Kalos, V. Elvira, "Multiple Importance Sampling Characterization by
Weighted Mean Invariance”, Visual Computer, vol. 34, issue 6–8, pp 843–852, June 2018.
L. Martino, V. Elvira, G. Camps-Valls, "The Recycling Gibbs Sampler for Efficient Learning", Digital
Signal Processing, Vol. 74, pp. 1-13, March, 2018.
[arXiv][pdf]
D. Luengo, L. Martino, V. Elvira, M. F. Bugallo, "Efficient Linear Fusion of Partial Estimators", Digital
Signal Processing, Vol. 78, pp. 265-283, July, 2018.
[pdf]
V. Elvira, J. Míguez, and P. M. Djuric, "Adapting the Number of Particles in Sequential Monte Carlo
Methods through an Online Scheme for Convergence Assessment", IEEE Transactions on Signal Processing, Vol.
65, no. 7, pp. 1781-1794, April, 2017.
[arXiv]
M. F. Bugallo, V. Elvira, L. Martino, D. Luengo, J. Míguez, and P. M. Djuric, "Adaptive Importance
Sampling: The Past, the Present, and the Future", IEEE Signal Processing Magazine, Vol. 34, no. 4, pp.
60-79, July, 2017.
[pdf]
V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Improving Population Monte Carlo: Alternative
Weighting and Resampling Schemes", Signal Processing, Vol. 131, pp. 77-91, February, 2017.
[arXiv][pdf]
L. Martino, V. Elvira, and F. Louzada, "Effective Sample Size for Importance Sampling Based on the
Discrepancy Measures", Signal Processing, Vol. 131, pp. 386-401, February, 2017.
[arXiv][pdf]
L. Martino, J. Read, V. Elvira, and F. Louzada, "Cooperative Parallel Particle Filters for On-line Model
Selection and Applications to Urban Mobility", Digital Signal Processing, Vol. 60, pp. 172–185, January,
2017.
[arXiv][pdf]
L. Martino, V. Elvira, D. Luengo, and J. Corander, "Layered Adaptive Importance Sampling", Statistics and
Computing, Vol. 27, No. 3, pp. 599-623, May. 2017.
[arXiv][pdf]
L. Martino, V. Elvira, "Metropolis Hastings", Wiley StatsRef: Statistics Reference Online, 2017.
[arXiv][pdf]
V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Heretical Mutiple Importance Sampling", IEEE Signal
Processing Letters, Vol. 23, no. 10, pp. 1474-1478, October, 2016.
[arXiv][pdf]
L. Martino, V. Elvira, D. Luengo, and J. Corander, and F. Louzada "Orthogonal parallel MCMC methods for
sampling and optimization", Digital Signal Processing, Vol. 58, pp. 64-84, November, 2016.
[arXiv][pdf]
V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Efficient Multiple Importance Sampling Estimators",
IEEE Signal Processing Letters, Vol. 22, no. 10, pp. 1757-1761, March, 2015.
[arXiv][pdf]
L. Martino, V. Elvira, D. Luengo, and J. Corander, "An Adaptive Population Importance Sampler: Learning
from the Uncertanity", IEEE Transactions on Signal Processing, Vol. 63, no. 16, pp. 4422-4437, August, 2015.
[pdf]
V. Elvira, and J. Vía, "Analog antenna combining in transmit correlated channels: Transceiver design and
performance evaluation", Signal Processing, Vol. 92, no. 3, pp. 757-766, March, 2012.
[pdf]
Z. Stamenkovic, K. Tittelbach-Helmrich, M. Krstic, J. Ibáñez, V. Elvira, and I. Santamaría, "MAC and
Baseband Processors for RF-MIMO WLAN", EURASIP Journal on Wireless Communications and Networking, December,
2011.
[pdf]
J. Vía, I. Santamaría, V. Elvira, and R. Eickhoff, "A General Criterion for Analog Tx-Rx Beamforming
under OFDM Transmissions", IEEE Transactions on Signal Processing, Vol. 58, no. 4, pp. 2155-2167, April,
2010.
[pdf]
Refereed conference papers
2023
O. Kviman, R. Molen, A. Hotti, S. Kurt, V. Elvira, J. Lagergren, "Cooperation in the Latent Space: The Benefits of Adding Mixture Components in Variational Autoencoders", 40th International Conference on Machine Learning (ICML 2023), Hawaii, USA, July, 2023.
W. Li, X. Chen, W. Wang, V. Elvira and Y. Li, "Differentiable Bootstrap Particle Filters for Regime-Switching Models", IEEE Workshop on Statistical Signal Processing (SSP 2023), Hanoi, Vietnam, July, 2023.
B. Cox and V. Elvira, "Differentiable Bootstrap Particle Filters for Regime-Switching Models", IEEE Workshop on Statistical Signal Processing (SSP 2023), Hanoi, Vietnam, July, 2023.
K. Tsampourakis and V. Elvira, "An Augmented Gaussian Sum Filter Through a Mixture Decomposition", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes, Greece, June, 2022.
S. Perez-Vieites and V. Elvira, "Adaptive Gaussian nested filter for parameter estimation and state tracking in dynamical systems", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes, Greece, June, 2022.
E. Chouzenoux and V. Elvira, "GraphIT: Iterative reweighted l1 algorithm for sparse graph inference in state-space models", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes, Greece, June, 2022.
T. Guilmeau, E. Chouzenoux, and V. Elvira, "Adaptive Simulated Annealing through Alternating Rényi Divergence Minimization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023), Rhodes, Greece, June, 2022.
2022
B. Cox, V. Elvira, "Parameter Estimation In Sparse Linear-Gaussian State-space Models Via Reversible Jump
Markov Chain Monte Carlo", 30th European Signal Processing Conference (EUSIPCO 2022), Belgrade, Serbia,
September, 2022.
O. Kviman, H. Melin, H. Koptagel, V. Elvira, J. Lagergren, "Multiple Importance Sampling ELBO and Deep
Ensembles of Variational Approximations", International Conference on Artificial Intelligence and Statistics
(AISTATS), online, 2022.
K. Tsampourakis and V. Elvira, "Approximating The Likelihood Ratio In Linear-gaussian State-space Models
For Change Detection", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP
2022), Singapore, May, 2022.
T. Guilmeau, É. Chouzenoux, and V. Elvira, "Proximal-based Adaptive Simulated Annealing For Global
Optimization", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022),
Singapore, May, 2022.
2021
O. Straka, J. Dunik, and V. Elvira, "Importance Gauss-Hermite Gaussian Filter for Models with
Non-Additive Non-Gaussian Noises", 24th International Conference on Information Fusion, Sun City, South
Africa, 2021.
J. Matousek, J. Dunik, M. Brandner, and V. Elvira, "Comparison of Discrete and Continuous State
Estimation with Focus on Active Flux Scheme", 24th International Conference on Information Fusion, Sun City,
South Africa, 2021.
S. Dahiya, S. Sharma, D. Sahnan, Dhruv, V. Goel, E. Chouzenoux, V. Elvira, A. Majumdar, A. Bandhakavi,
and T. Chakraborty, "Would your tweet invoke hate on the fly? forecasting hate intensity of reply threads on
twitter", Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021.
N. Branchini and V. Elvira "Optimized Auxiliary Particle Filters", Conference on Uncertainty in
Artificial Intelligence (UAI), online, 2021.
F. Llorente, L. Martino, V. Elvira, and D. Delgado, "A Nearest Neighbors Quadrature for Posterior
Approximation via Adaptive Sequential Design", IEEE Workshop on Statistical Signal Processing (SSP 2021),
online, 2021.
T. Guilmeau, E. Chouzenoux, and V. Elvira "Simulated annealing: a review and a new scheme", IEEE Workshop
on Statistical Signal Processing (SSP 2021), online, 2021.
2020
É. Chouzenoux and V. Elvira, "GraphEM: EM algorithm for blind Kalman filtering under graphical sparsity
constraints", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020),
Barcelona, Spain, April, 2020.
L. Martino, V. Elvira, and G. Camps-Valls,"Particle Group Metropolis Methods for Tracking the Leaf Area
Index", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), Barcelona,
Spain, April, 2020.
2019
V. Elvira and I. Santamaría, "Efficient SER Estimation for MIMO Detectors via Importance Sampling
Schemes," IEEE Conference on Signals, Systems, and Computers (Asilomar 2019), November 2019.
A. S. Bedi, A. Koppel, B. Sadler, and V. Elvira, "Compressed streaming importance sampling for efficient
representations of localization distributions," IEEE Conference on Signals, Systems, and Computers (Asilomar
2019), November 2019.
Y. Huang, É. Chouzenoux, and V. Elvira, "Particle Filtering for Online Space-Varying Blur
Identification", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
(CAMSAP 2019), Guadaloupe, France, December, 2019.
Y. El-Laham, V. Elvira, and M. Bugallo "Recursive Shrinkage Covariance Learning in Adaptive Importance
Sampling", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP
2019), Guadaloupe, France, December, 2019.
V. Elvira, P. Closas, L. Martino "Gauss-Hermite Quadrature for non-Gaussian Inference via an Importance
Sampling Interpretation", 27th European Signal Processing Conference (EUSIPCO 2019), A Coruña, Spain,
September, 2019.
Y. El-Laham, L. Martino, V. Elvira, M. F. Bugallo, "Efficient Adaptive Multiple Importance Sampling",
27th European Signal Processing Conference (EUSIPCO 2019), A Coruña, Spain, September, 2019.
V. Elvira, É. Chouzenoux, "Langevin-based Strategy for Efficient Proposal Adaptation in Population Monte
Carlo", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), Brighton,
UK, May, 2019.
2018
V. Elvira, L. Martino, M. F. Bugallo, and P. M. Djuric, "In Search for Improved Auxiliary Particle
Filters", 26th European Signal Processing Conference (EUSIPCO 2018), Rome, Italy, September, 2018.
L. Martino, V. Elvira, G. Camps-Valls, "Distributed Particle Metropolis-Hastings schemes" , IEEE Workshop
on Statistical Signal Processing (SSP 2018), Freiburg, Germany, 2018.
[pdf]
L. Martino, V. Elvira, J. M\'iguez, A. Art\'es-Rodriguez, P. Djuric, "A comparison of clipping strategies
for importance sampling", IEEE Workshop on Statistical Signal Processing (SSP 2018), Freiburg, Germany,
2018.
[pdf]
Ö. Deniz Akyildiz, V. Elvira, J.Miguez, "The Incremental Proximal Method: A Probabilistic Perspective",
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada,
April, 2018.
[arXiv]
S. Van Vaerenbergh, I. Santamaría, V. Elvira, M.
Salvattori, "Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space", IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), Calgary, Canada, April,
2018.
[arXiv][pdf]
2017
V. Elvira, D. Luengo, L. Martino, M. F. Bugallo, "Population Monte Carlo Schemes with Reduced Path
Degeneracy", IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
(CAMSAP 2017), Curaçao, Dutch Antilles, December, 2017.
O. Lang, V. Elvira, and M. Huemer, ''Estimation of Real Valued Impulse Responses based on Noisy Magnitude
and Phase Measurements'', IEEE Conference on Signals, Systems, and Computers (Asilomar), 2017.
V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Novel weighting and resampling schemes in
Population Monte Carlo", French National Conference on Signal and Image Processing (GRETSI 2017),
Juan-les-Pines, France, September, 2017.
L. Martino, V. Elvira, and D. Luengo, "Anti-tempered Layered Adaptive Importance Sampling", 22nd
International Conference on Digital Signal Processing (DSP 2017), London, UK, August, 2017.
[pdf]
V. Elvira, J. Miguez, and P. M. Djuric, "Robust inference techniques in state-space models with model
mismatch", 61st World Statistics Congress (ISI 2017), Marrakech, Morocco, 2017.
L. Martino, V. Elvira, and G. Camps-Valls, "Group Metropolis Sampling", 25th European Signal Processing
Conference (EUSIPCO 2017), Kos, Greece, August, 2017.
[pdf]
L. Martino, V. Elvira, and G. Camps-Valls, "Recycling Gibbs Sampling", 25th European Signal Processing
Conference (EUSIPCO 2017), Kos, Greece, August, 2017.
[pdf]
2016
M. F. Bugallo, V. Elvira, and L. Martino, "A new strategy for effective learning in population monte
carlo sampling," IEEE Conference on Signals, Systems, and Computers (Asilomar 2016), pp. 1540-1544, Pacific
Groove, California, USA, November 2016.
[pdf]
V. Elvira, J. Miguez, and P. M. Djuric, "A Novel Algorithm for Adapting the Number of Particles in
Particle Filtering", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Rio de
Janeiro, Brazil, July, 2016.
L. Martino, V. Elvira, D. Luengo, and F. Louzada, " Adaptive Population Importance Samplers: A General
Perspective", IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2016), Rio de Janeiro,
Brazil, July, 2016.
V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "Novel weighting schemes with non-disjoint mixtures
of proposals in multiple importance sampling", IEEE Workshop on Statistical Signal Processing (SSP 2016),
Mallorca, Spain, June, 2016.
L. Martino, V. Elvira, and F. Lozada, "Alternative Effective Sample Size measures for Importance
Sampling", IEEE Workshop on Statistical Signal Processing (SSP 2016), Mallorca, Spain, June, 2016.
[pdf]
L. Martino, V. Elvira, and F. Louzada, "Weighting a resampled particle in Sequential Monte Carlo", IEEE
Workshop on Statistical Signal Processing (SSP 2016), Mallorca, Spain, June, 2016.
V. Elvira, J. Miguez, and P. M. Djuric, "Online Adaptation of the Number of Particles of Sequential Monte
Carlo Methods", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016),
Shanghai, China, March, 2016.
L. Martino, V. Elvira, D. Luengo, F. Louzada, "Parallel Metropolis chains with cooperative adaptation",
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2016), Shanghai, China,
March, 2016.
[arXiv]
D. Luengo, G. Ríos-Muñoz, V. Elvira, A. Artés-Rodríguez, "A hierarchical algorithm for causality
discovery among atrial fibrillation electrograms", IEEE International Conference on Acoustics, Speech, and
Signal Processing (ICASSP 2016), Shanghai, China, March, 2016.
[pdf]
D. Luengo, V. Elvira, "Latent variable analysis of causal interactions in atrial fibrillation
electrograms", 42th Computing in Cardiology, Vancouver, Canada, September, 2016.
[pdf]
2015
V. Elvira, L. Martino, D. Luengo, and M. F. Bugallo, "On Sample Generation and Weight Calculation in
Multiple Importance Sampling", IEEE Conference on Signals, Systems, and Computers (ASILOMAR 2015), Pacific
Groove, California, USA, November 2015.
[pdf]
D. Luengo, L. Martino, V. Elvira, M. F. Bugallo, "Bias Correction for Distributed Bayesian Estimators",
IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015),
Cancún, México, December, 2015.
D. Luengo, G. Ríos-Muñoz, V. Elvira, "Causality Analysis of Atrial Fibrillation Electrograms", 42th
Computing in Cardiology, Nice, France, September, 2015.
[pdf]
L. Martino, V. Elvira, D. Luengo, J. Corander, "Interacting Parallel Markov Adaptive Importance
Sampling", 23th European Signal Processing Conference (EUSIPCO 2015), Nice, France, August, 2015.
V. Elvira, L. Martino, D. Luengo, J. Corander, "A Gradient Adaptive Population Importance Sampler", IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australia,
April, 2015.
[pdf]
J. Fernández-Bes, V. Elvira, S. Van Vaerenbergh, "A Probabilistic Least-Mean-Squares Filter", IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australia,
April, 2015.
[arXiv][pdf]
L. Martino, V. Elvira, D. Luengo, A. Artés-Rodríguez, J. Corander, "Smelly Parallel MCMC Chains", IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), Brisbane, Australia,
April, 2015.
[pdf]
D. Luengo, L. Martino, V. Elvira, M. F. Bugallo, "Efficient Linear Combination of Partial Monte Carlo
Estimators", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015),
Brisbane, Australia, April, 2015.
[pdf]
2014
L. Martino, V. Elvira, D. Luengo, A. Artés-Rodríguez, J. Corander, "Orthogonal MCMC Algorithms", IEEE
Statistical Signal Processing Workshop (SSP 2014), Gold Coast, Australia, June, 2014.
[pdf]
V. Elvira, A. Nazábal, A. Artés-Rodríguez, "A Novel Feature Extraction Technique for Human Activity
Recognition", IEEE Statistical Signal Processing Workshop (SSP 2014), Gold Coast, Australia, June, 2014.
[pdf]
L. Martino, V. Elvira, D. Luengo, J. Corander, "An Adaptive Population Importance Sampler", IEEE
International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), Florence, Italy, May,
2014.
[pdf]
L. Martino, V. Elvira, D. Luengo, J. Corander, "MCMC-Driven Adaptive Multiple Importance Sampling", 12th
Brazilian Meeting on Bayesian Statistics, Atibaia, Brazil, March, 2014.
2011
R. Eickoff, K. Tittelbach-Helmrich, M. Wickert, J. Wagner, U. Mayer, V. Elvira, J. Ibáñez, Z.
Stamenkovic, and F. Ellinger, "Physical layer amendments for MIMO features in 802.11 a", Future Network &
Mobile Summit (FutureNetw), Warsaw, Poland, June, 2011.
[pdf]
2010
V. Elvira, J. Ibáñez, I. Santamaría, M. Krstic, K. Tittelbach-Helmrich, and Z. Stamenkovic, "Baseband
processor for RF-MIMO WLAN", 17th IEEE International Conference on Electronics, Circuits, and Systems (ICECS
2010), Athens, Greece, December, 2010.
[pdf]
Z. Stamenkovic, K. Tittelbach-Helmrich, M. Krstic, J. Ibáñez, V. Elvira, and I. Santamaría, "MAC and
Baseband Hardware Platforms for RF-MIMO WLAN", 5th European Conference on Circuits and Systems for
Communications, Belgrade, Serbia, November, 2010.
[pdf]
J. Vía, I. Santamaría, V. Elvira, and R. Eickhoff, "A general Pre-FFT criterion for MIMO-OFDM
beamforming", IEEE International Conference on Communications (ICC 2010), Cape Town, South Africa, May,
2010.
[pdf]
2009
V. Elvira, and J. Vía, "Diversity Techniques for RF-Beamforming in MIMO-OFDM Systems: Design and
Performance Evaluation", 17th European Signal Processing Conference (EUSIPCO 2009), Glasgow, United Kingdom,
August, 2009.
[pdf]
J. Vía, V. Elvira, I. Santamaría, and R. Eickhoff, "Analog Antenna Combining for Maximum Capacity under
OFDM Transmissions", IEEE International Conference on Communications (ICC 2009), Dresden, Germany, June,
2009.
[pdf]
J. Vía, V. Elvira, J. Ibáñez, and I. Santamaría, "Optimal Precoding for a Novel RF-MIMO Scheme in
Transmit Correlated Rayleigh Channels", 10th International Workshop on Signal Processing Advances in
Wireless Communications (SPAWC 2009), Perugia, Italy, June, 2009.
[pdf]
J. Vía, V. Elvira, I. Santamaría, and R. Eickhoff, "Minimum BER beamforming in the RF domain for OFDM
transmissions and linear receivers", IEEE International Conference on Acoustics Speech and Signal Processing
(ICASSP 2009), Taipei, Taiwan, April, 2009.
[pdf]
2008
I. Santamaría, V. Elvira, J. Vía, D. Ramírez, J. Pérez, J. Ibáñez, R. Eickhoff, and F. Ellinger, "Optimal
MIMO transmission schemes with adaptive antenna combining in the RF path", 16th European Signal Processing
Conference (EUSIPCO 2008), Lausanne, Switzerland, August, 2008.
[pdf]
Book chapters
L. Martino, V. Elvira, D. Luengo, and J. Corander, "MCMC-Driven Adaptive Multiple Importance Sampling",
Interdisciplinary Bayesian Statistics, A. Polpo de Campos (editor): Springer, 2015.
I. Santamaría, J. Vía, V. Elvira, J. Ibáñez, J. Pérez, R. Eickhoff, and U. Mayer, "Low-Cost and Compact
RF-MIMO Transceivers", Handbook of Smart Antennas for RFID Systems, N. C. Karmakar (editor): John Wiley &
Sons , 2010.
PhD dissertation
V. Elvira, Baseband processing in analog combining MIMO systems: from theoretical design to FPGA
implementation, University of Cantabria, 2011.
Google ScholarBibTex[pdf]