D. Luengo

发表

A general solution to blind inverse problems for sparse input signals

David Luengo, Ignacio Santamaría, Luis Vielva, 2005, Neurocomputing.

A fast blind SIMO channel identification algorithm for sparse sources

L. Vielva, D. Luengo, I. Santamaría, 2003, IEEE Signal Processing Letters.

Secure communications using OFDM with chaotic modulation in the subcarriers

D. Luengo, I. Santamaria, D. Luengo, 2005, 2005 IEEE 61st Vehicular Technology Conference.

Optimal estimation of a class of chaotic signals

D. Luengo, I. Santamaría, C. Pantaleón, 2000, WCC 2000 - ICSP 2000. 2000 5th International Conference on Signal Processing Proceedings. 16th World Computer Congress 2000.

Piecewise-linear maps

D. Luengo, I. Santamaría, C. Pantaleón, 2000, IEEE Signal Processing Letters.

Optimal Estimation of Chaotic Signals Generated by Piecewise-Linear Maps

D. Luengo, I. Santamaría, C. Pantaleón, 2000 .

Design of simultaneous sampling systems based on fractional delay Lagrange filters

David Luengo, C. Pantaleon, Ignacio Santamaria, 2000 .

Linear latent force models using Gaussian processes.

Neil D. Lawrence, M. Álvarez, N. Lawrence, 2013, IEEE transactions on pattern analysis and machine intelligence.

AN ADAPTIVE POPULATION IMPORTANCE SAMPLER : LEARNING FROM ERRORS

J. Corander, D. Luengo, V. Elvira, 2014 .

Improving population Monte Carlo: Alternative weighting and resampling schemes

Luca Martino, David Luengo, Monica F. Bugallo, 2016, Signal Process..

Variational Inducing Kernels for Sparse Convolved Multiple Output G aussian Processes

M. Álvarez, N. Lawrence, M. Titsias, 2009, 0912.3268.

Improving Population Monte Carlo: Alternative Weighting

D. Luengo, Luca Martino, F. Bugallo, 2016 .

Prior Knowledge and Sparse Methods for Convolved Multiple Outputs Gaussian Processes

Neil D. Lawrence, David Luengo, Michalis K. Titsias, 2009 .

Extremely efficient generation of Gamma random variables for \alpha >= 1

Luca Martino, David Luengo, D. Luengo, 2013 .

THE FUSS ALGORITHM: A FAST UNIVERSAL SELF-TUNED SAMPLER WITHIN GIBBS

J. Corander, D. Luengo, J. Kanniainen, 2014 .

Efficient random variable generation: Ratio of uniforms and polar rejection sampling

Luca Martino, David Luengo, D. Luengo, 2012 .

On the Generalized Ratio of Uniforms as a Combination of Transformed Rejection and Extended Inverse of Density Sampling

D. Luengo, Luca Martino, Joaqu'in M'iguez, 2012, 1205.0482.

Efficient sampling from truncated bivariate Gaussians via Box-Muller transformation

Luca Martino, David Luengo, Joaquín Míguez, 2012 .

Almost rejectionless sampling from Nakagami-m distributions (m⩾1)

Luca Martino, David Luengo, D. Luengo, 2012 .

Independent Sampling for Multivariate Densities

J. Míguez, D. Luengo, Luca Martino, 2018 .

E cient Linear Fusion of Partial Estimators

M. Bugallo, D. Luengo, V. Elvira, 2019 .

Independent Random Sampling Methods

Luca Martino, David Luengo, Joaquín Míguez, 2018 .

Channel Estimation Based on the Discrete Cosine Transform Type-III Even Marı́a

D. Luengo, Elena Domı́nguez-Jiménez, G. Sansigre-Vidal, 2018 .

A hierarchical algorithm for causality discovery among atrial fibrillation electrograms

Antonio Artés-Rodríguez, David Luengo, Gonzalo Rios-Muñoz, 2016, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient Combination of Partial Monte Carlo Estimators

M. Bugallo, D. Luengo, V. Elvira, 2014 .

A novel simultaneous sampling technique and its application to multipoint optical fibre sensor accelerometers

D. Luengo, I. Santamaría, J. Ibáñez, 2001 .

Ratio of Uniforms

J. Míguez, D. Luengo, Luca Martino, 2018 .

Adaptive Sticky Generalized Metropolis

D. Luengo, R. Casarin, Luca Martino, 2013 .

Intracardiac ECG pulse localization using overlapping block sparse reconstruction

D. Luengo, T. Trigano, 2023, Biomed. Signal Process. Control..

An efficient clustering-based non-fiducial approach for ECG biometric recognition

D. Luengo, David Meltzer, 2022, 2022 30th European Signal Processing Conference (EUSIPCO).

Layered adaptive importance sampling

D. Luengo, V. Elvira, Luca Martino, 2016, Statistics and Computing.

Cross-products LASSO

David Luengo, Antonio Artés-Rodríguez, Thomas Trigano, 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Linear Latent Force Models Using Gaussian Processes

Neil D. Lawrence, David Luengo, Mauricio A. Álvarez, 2011, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Orthogonal parallel MCMC methods for sampling and optimization

Jukka Corander, Luca Martino, Victor Elvira, 2015, Digit. Signal Process..

Fast proximal optimization for sparse reconstruction with dictionaries based on translated waveforms

David Luengo, Thomas Trigano, Shira Vaknin, 2020, Signal Process..

Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms

David Luengo, Tom Trigano, Igor Shevtsov, 2017, Signal Process..

Generalized Multiple Importance Sampling

David Luengo, V'ictor Elvira, Luca Martino, 2015, Statistical Science.

Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling

Luca Martino, David Luengo, Jesse Read, 2012, IEEE Transactions on Signal Processing.

Latent Force Models

Neil D. Lawrence, David Luengo, Mauricio A. Álvarez, 2009, AISTATS.

A survey of Monte Carlo methods for parameter estimation

Mónica F. Bugallo, Luca Martino, David Luengo, 2020, EURASIP J. Adv. Signal Process..

Asymptotically Independent Samplers

Luca Martino, David Luengo, Joaquín Míguez, 2018 .

Latent variable analysis of causal interactions in atrial fibrillation electrograms

Victor Elvira, David Luengo, D. Luengo, 2016, 2016 Computing in Cardiology Conference (CinC).

Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels

Luca Martino, David Luengo, D. Luengo, 2014, Commun. Stat. Simul. Comput..

Efficient linear fusion of partial estimators

Mónica F. Bugallo, Luca Martino, Victor Elvira, 2014, Digit. Signal Process..

Efficient Linear Fusion of Distributed MMSE Estimators for Big Data

Luca Martino, David Luengo, Monica F. Bugallo, 2016 .

Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation

David Luengo, Antonio Artés-Rodríguez, Thomas Trigano, 2015, Integr. Comput. Aided Eng..

Novel fast random search clustering algorithm for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs

David Luengo, Antonio Artés-Rodríguez, Sandra Monzón, 2012, Neurocomputing.

Multiple Composite Hypothesis Testing: A Competitive Approach

David Luengo, Ignacio Santamaría, Jesús Ibáñez, 2004, J. VLSI Signal Process..

Bayesian estimation of chaotic signals generated by piecewise-linear maps

David Luengo, Ignacio Santamaría, Luis Vielva, 2003, Signal Process..

Adaptive independent sticky MCMC algorithms

Luca Martino, David Luengo, Roberto Casarin, 2013, EURASIP J. Adv. Signal Process..

Improvement of the accuracy of nonlinear rotordynamic models by means of the use of non-white fluid-induced signal noise

Juan Manuel Muñoz Guijosa, Alejandro Silva, A. Zarzo, 2021 .

Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution

Antonio Artés-Rodríguez, David Luengo, Francisco Hernando-Gallego, 2018, IEEE Journal of Biomedical and Health Informatics.

Statistical Simulation of Multipath Fading Channels for Mobile Wireless Digital Communication Systems

Luca Martino, David Luengo, D. Luengo, 2014 .

Distributed target detection in centralized wireless sensor networks with communication constraints

David Luengo, Jose Luis Barbosa, D. Luengo, 2011, 2011 19th European Signal Processing Conference.

Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods

David Luengo, David Meltzer, D. Luengo, 2019, 2019 42nd International Conference on Telecommunications and Signal Processing (TSP).

Bayesian estimation of discrete chaotic signals by MCMC

David Luengo, Ignacio Santamaría, Carlos Pantaleón, 2002, 2002 11th European Signal Processing Conference.

Bayesian estimation of a class of chaotic signals

David Luengo, Ignacio Santamaría, Carlos Pantaleón, 2000, 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.00CH37100).

Physics-aware Gaussian processes in remote sensing

Luca Martino, David Luengo, Valero Laparra, 2018, Appl. Soft Comput..

Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions

D. Luengo, M. Piles, L. Martino, 2021, IEEE Transactions on Geoscience and Remote Sensing.

Orthogonal MCMC algorithms

Luca Martino, Victor Elvira, David Luengo, 2014, 2014 IEEE Workshop on Statistical Signal Processing (SSP).

Adaptive Importance Sampling: The past, the present, and the future

Petar M. Djuric, Luca Martino, Victor Elvira, 2017, IEEE Signal Processing Magazine.

Multiple importance sampling with overlapping sets of proposals

Mónica F. Bugallo, Luca Martino, Victor Elvira, 2016, 2016 IEEE Statistical Signal Processing Workshop (SSP).

Heretical Multiple Importance Sampling

Mónica F. Bugallo, Luca Martino, Victor Elvira, 2016, IEEE Signal Processing Letters.

Efficient Multiple Importance Sampling Estimators

Mónica F. Bugallo, Luca Martino, Victor Elvira, 2015, IEEE Signal Processing Letters.

Layered adaptive importance sampling

Jukka Corander, Luca Martino, Victor Elvira, 2015, Statistics and Computing.

Bias correction for distributed Bayesian estimators

Mónica F. Bugallo, Luca Martino, Victor Elvira, 2015, 2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Blind Analysis of EGM Signals: Sparsity-Aware Formulation

David Luengo, Antonio Artes-Rodriguez, Javier Via, 2012, 1212.6936.

Fully adaptive Gaussian mixture Metropolis-Hastings algorithm

Luca Martino, David Luengo, D. Luengo, 2012, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Scalable multi-output label prediction: From classifier chains to classifier trellises

Luca Martino, David Luengo, Pablo M. Olmos, 2015, Pattern Recognit..

Grouped sparsity algorithm for multichannel intracardiac ECG synchronization

Antonio Artés-Rodríguez, Thomas Trigano, David Luengo, 2014, 2014 22nd European Signal Processing Conference (EUSIPCO).

Latent force models for earth observation time series prediction

Gustau Camps-Valls, Manuel Campos-Taberner, David Luengo, 2016, 2016 IEEE 26th International Workshop on Machine Learning for Signal Processing (MLSP).

A fast universal self-tuned sampler within Gibbs sampling

Jukka Corander, Luca Martino, David Luengo, 2014, Digit. Signal Process..

Efficient Multioutput Gaussian Processes through Variational Inducing Kernels

Neil D. Lawrence, David Luengo, Mauricio A. Álvarez, 2010, AISTATS.

Efficient monte carlo methods for multi-dimensional learning with classifier chains

Luca Martino, David Luengo, Jesse Read, 2012, Pattern Recognit..

Efficient monte carlo optimization for multi-label classifier chains

Luca Martino, David Luengo, Jesse Read, 2012, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.

Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms

Antonio Artés-Rodríguez, David Luengo, Víctor Elvira, 2019, IEEE Journal of Biomedical and Health Informatics.

Monte Carlo limit cycle characterization

Luca Martino, David Luengo, José David Osés-Del Campo, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Efficient linear combination of partial Monte Carlo estimators

Mónica F. Bugallo, Luca Martino, Victor Elvira, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An Adaptive Population Importance Sampler: Learning From Uncertainty

Jukka Corander, Luca Martino, Victor Elvira, 2015, IEEE Transactions on Signal Processing.

A general solution to blind inverse problems for sparse input signals

L. Vielva, D. Luengo, I. Santamaría, 2005, Neurocomputing.

Population Monte Carlo schemes with reduced path degeneracy

Mónica F. Bugallo, Luca Martino, Victor Elvira, 2017, 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP).

Adaptive population importance samplers: A general perspective

Luca Martino, Victor Elvira, David Luengo, 2016, 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM).

Parallel metropolis chains with cooperative adaptation

Luca Martino, Victor Elvira, David Luengo, 2015, 2016 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

A gradient adaptive population importance sampler

Jukka Corander, Luca Martino, Victor Elvira, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Smelly parallel MCMC chains

Luca Martino, Victor Elvira, David Luengo, 2015, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Independent doubly Adaptive Rejection Metropolis Sampling

Luca Martino, David Luengo, Jesse Read, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

An adaptive population importance sampler

Jukka Corander, David Luengo, Luca Martino, 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

MCMC-Driven Adaptive Multiple Importance Sampling

Jukka Corander, Luca Martino, Victor Elvira, 2015 .

Digital Signal Processing

J. Corander, D. Luengo, J. Kanniainen, 2022 .

Efficient Clustering-Based electrocardiographic biometric identification

D. Luengo, David Meltzer, 2023, Expert Syst. Appl..

A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling

David Luengo, David Meltzer, D. Luengo, 2019, ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

Overcomplete Multi-scale Dictionaries for Efficient Representation of ECG Signals

David Luengo, Thomas Trigano, David Meltzer, 2019, EUROCAST.

An Efficient Method to Learn Overcomplete Multi-Scale Dictionaries of ECG Signals

David Luengo, David Meltzer, Thomas Trigano, 2018, Applied Sciences.

Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals

David Luengo, Thomas Trigano, David Meltzer, 2018, 2018 41st International Conference on Telecommunications and Signal Processing (TSP).

A survey of Monte Carlo methods for parameter estimation

M. Bugallo, D. Luengo, V. Elvira, 2020, EURASIP Journal on Advances in Signal Processing.

Physics-Aware Gaussian Processes for Earth Observation

Luca Martino, Valero Laparra, Gustau Camps-Valls, 2017, SCIA.

Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions

Javier Vía, David Luengo, Tom Trigano, 2021, 2020 28th European Signal Processing Conference (EUSIPCO).