David Luengo

Publication Activity (10 Years)

Years Active: 2000-2023
Publications (10 Years): 44

Top Topics

Discrete Cosine Transform

Importance Sampling

Top Venues

Publications

Tom Trigano, Shlomi Talala, David Luengo
Adaptive Trend Filtering for ECG Denoising and Delineation. IEEE J. Biomed. Health Informatics 27 (12) (2023)
David Meltzer, David Luengo
Efficient Clustering-Based electrocardiographic biometric identification. Expert Syst. Appl. 219 (2023)
Tom Trigano, David Luengo
Intracardiac ECG pulse localization using overlapping block sparse reconstruction. Biomed. Signal Process. Control. 79 (Part) (2023)
David Meltzer, David Luengo
An efficient clustering-based non-fiducial approach for ECG biometric recognition. EUSIPCO (2022)
Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
Integrating Domain Knowledge in Data-Driven Earth Observation With Process Convolutions. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
David Luengo, Luca Martino, Mónica F. Bugallo, Victor Elvira, Simo Särkkä
A Survey of Monte Carlo Methods for Parameter Estimation. CoRR (2021)
María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal, Fernando Cruz-Roldán
A Novel Scheme of Multicarrier Modulation With the Discrete Cosine Transform. IEEE Trans. Wirel. Commun. 20 (12) (2021)
Daniel Heestermans Svendsen, Maria Piles, Jordi Muñoz-Marí, David Luengo, Luca Martino, Gustau Camps-Valls
Integrating Domain Knowledge in Data-driven Earth Observation with Process Convolutions. CoRR (2021)
Tom Trigano, Shira Vaknin, David Luengo
Fast proximal optimization for sparse reconstruction with dictionaries based on translated waveforms. Signal Process. 169 (2020)
David Luengo, Luca Martino, Mónica F. Bugallo, Víctor Elvira, Simo Särkkä
A survey of Monte Carlo methods for parameter estimation. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
David Luengo, Javier Vía, Tom Trigano
Efficient Iteratively Reweighted LASSO Algorithm for Cross-Products Penalized Sparse Solutions. EUSIPCO (2020)
David Meltzer, David Luengo
A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling. ICASSP (2019)
David Meltzer, David Luengo, Tom Trigano
Overcomplete Multi-scale Dictionaries for Efficient Representation of ECG Signals. EUROCAST (2) (2019)
María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Oses, David Luengo
On the Feasibility of SISO /MIMO-PLC based on the Discrete Cosine Transform Type-III even. TSP (2019)
David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Carlos Sánchez, Antonio Artés-Rodríguez
Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms. IEEE J. Biomed. Health Informatics 23 (1) (2019)
David Meltzer, David Luengo
Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods. TSP (2019)
Luca Martino, David Luengo
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels. Commun. Stat. Simul. Comput. 48 (6) (2019)
María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Luengo
Signal Reconstruction in Multicarrier Comunications by Means of the Discrete Cosine Transform Type-III Even. TSP (2018)
Luca Martino, Roberto Casarin, Fabrizio Leisen, David Luengo
Adaptive independent sticky MCMC algorithms. EURASIP J. Adv. Signal Process. 2018 (2018)
Elena Domínguez Jiménez, David Luengo, Fernando Cruz-Roldán
Channel Estimation Using Type-III Even Discrete Cosine Transform in Multicarrier Communications. SSP (2018)
David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient linear fusion of partial estimators. Digit. Signal Process. 78 (2018)
David Luengo, David Meltzer, Tom Trigano
Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals. TSP (2018)
Francisco Hernando-Gallego, David Luengo, Antonio Artés-Rodríguez
Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution. IEEE J. Biomed. Health Informatics 22 (5) (2018)
Gustau Camps-Valls, Luca Martino, Daniel H. Svendsen, Manuel Campos-Taberner, Jordi Muñoz-Marí, Valero Laparra, David Luengo, Francisco Javier García-Haro
Physics-aware Gaussian processes in remote sensing. Appl. Soft Comput. 68 (2018)
María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal
Channel Estimation Based on the Discrete Cosine Transform Type-III Even. EUSIPCO (2018)
Gustau Camps-Valls, Daniel H. Svendsen, Luca Martino, Jordi Muñoz-Marí, Valero Laparra, Manuel Campos-Taberner, David Luengo
Physics-Aware Gaussian Processes for Earth Observation. SCIA (2) (2017)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Population Monte Carlo schemes with reduced path degeneracy. CAMSAP (2017)
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) (2017)
David Luengo, David Oses, Fernando Cruz-Roldán
Compact framework for reproducible analysis of finite wordlength effects in linear digital networks. EUSIPCO (2017)
Víctor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Improving population Monte Carlo: Alternative weighting and resampling schemes. Signal Process. 131 (2017)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
Layered adaptive importance sampling. Stat. Comput. 27 (3) (2017)
María Elena Domínguez Jiménez, David Luengo, Gabriela Sansigre Vidal, Fernando Cruz-Roldán
A novel channel estimation scheme for multicarrier communications with the Type-I even discrete cosine transform. EUSIPCO (2017)
Luca Martino, Victor Elvira, David Luengo
Anti-tempered layered adaptive importance sampling. DSP (2017)
Tom Trigano, Igor Shevtsov, David Luengo
Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms. Signal Process. 139 (2017)
Luca Martino, Víctor Elvira, David Luengo, Jukka Corander, Francisco Louzada
Orthogonal parallel MCMC methods for sampling and optimization. Digit. Signal Process. 58 (2016)
David Luengo, Gonzalo Rios-Muñoz, Victor Elvira, Antonio Artés-Rodríguez
A hierarchical algorithm for causality discovery among atrial fibrillation electrograms. ICASSP (2016)
David Luengo, Victor Elvira
Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms. CinC (2016)
Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
Adaptive population importance samplers: A general perspective. SAM (2016)
Fernando Cruz-Roldán, María Elena Domínguez Jiménez, Gabriela Sansigre Vidal, David Luengo, Marc Moonen
DCT-based channel estimation for single- and multicarrier communications. Signal Process. 128 (2016)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Multiple importance sampling with overlapping sets of proposals. SSP (2016)
Luca Martino, Victor Elvira, David Luengo, Francisco Louzada
Parallel metropolis chains with cooperative adaptation. ICASSP (2016)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Heretical Multiple Importance Sampling. IEEE Signal Process. Lett. 23 (10) (2016)
Luca Martino, Roberto Casarin, David Luengo
Sticky proposal densities for adaptive MCMC methods. SSP (2016)
David Luengo, Manuel Campos-Taberner, Gustau Camps-Valls
Latent force models for earth observation time series prediction. MLSP (2016)
Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises. CoRR (2015)
Luca Martino, H. Yang, David Luengo, Juho Kanniainen, Jukka Corander
A fast universal self-tuned sampler within Gibbs sampling. Digit. Signal Process. 47 (2015)
David Luengo, Sandra Monzón, Tom Trigano, Javier Vía, Antonio Artés-Rodríguez
Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation. Integr. Comput. Aided Eng. 22 (1) (2015)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
Efficient Multiple Importance Sampling Estimators. IEEE Signal Process. Lett. 22 (10) (2015)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
Layered Adaptive Importance Sampling. CoRR (2015)
David Luengo, Gonzalo Rios-Muñoz, Víctor Elvira
Causality Analysis of Atrial Fibrillation Electrograms. CinC (2015)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
Parallel interacting Markov adaptive importance sampling. EUSIPCO (2015)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
An Adaptive Population Importance Sampler: Learning From Uncertainty. IEEE Trans. Signal Process. 63 (16) (2015)
Jesse Read, Luca Martino, Pablo M. Olmos, David Luengo
Scalable multi-output label prediction: From classifier chains to classifier trellises. Pattern Recognit. 48 (6) (2015)
Luca Martino, Víctor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
Smelly parallel MCMC chains. ICASSP (2015)
David Luengo, Luca Martino, Victor Elvira, Mónica F. Bugallo
Bias correction for distributed Bayesian estimators. CAMSAP (2015)
Víctor Elvira, Luca Martino, David Luengo, Jukka Corander
A gradient adaptive population importance sampler. ICASSP (2015)
David Luengo, Luca Martino, Víctor Elvira, Mónica F. Bugallo
Efficient linear combination of partial Monte Carlo estimators. ICASSP (2015)
Luca Martino, Jesse Read, David Luengo
Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling. IEEE Trans. Signal Process. 63 (12) (2015)
Victor Elvira, Luca Martino, David Luengo, Mónica F. Bugallo
On sample generation and weight calculation in multiple importance sampling. ACSSC (2015)
Thomas Trigano, V. Kolesnikov, David Luengo, Antonio Artés-Rodríguez
Grouped sparsity algorithm for multichannel intracardiac ECG synchronization. EUSIPCO (2014)
Luca Martino, Victor Elvira, David Luengo, Jukka Corander
An adaptive population importance sampler. ICASSP (2014)
Luca Martino, Victor Elvira, David Luengo, Antonio Artés-Rodríguez, Jukka Corander
Orthogonal MCMC algorithms. SSP (2014)
David Luengo, David Oses, Luca Martino
Monte Carlo limit cycle characterization. ICASSP (2014)
Jesse Read, Luca Martino, David Luengo
Efficient monte carlo methods for multi-dimensional learning with classifier chains. Pattern Recognit. 47 (3) (2014)
Luca Martino, Jesse Read, David Luengo
Independent doubly Adaptive Rejection Metropolis Sampling. ICASSP (2014)
Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
Linear Latent Force Models Using Gaussian Processes. IEEE Trans. Pattern Anal. Mach. Intell. 35 (11) (2013)
Jesse Read, Luca Martino, David Luengo
Efficient monte carlo optimization for multi-label classifier chains. ICASSP (2013)
David Luengo, Luca Martino
Fully adaptive Gaussian mixture Metropolis-Hastings algorithm. ICASSP (2013)
David Luengo, Javier Vía, Sandra Monzón, Tom Trigano, Antonio Artés-Rodríguez
Cross-products LASSO. ICASSP (2013)
Jesse Read, Luca Martino, David Luengo
Efficient Monte Carlo Optimization for Multi-label Classifier Chains CoRR (2012)
Sandra Monzón, Tom Trigano, David Luengo, Antonio Artés-Rodríguez
Sparse spectral analysis of atrial fibrillation electrograms. MLSP (2012)
David Luengo, Sandra Monzón, Antonio Artés-Rodríguez
Novel fast random search clustering algorithm for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs. Neurocomputing 87 (2012)
Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
Linear Latent Force Models using Gaussian Processes CoRR (2011)
Jose Luis Barbosa, David Luengo
Distributed target detection in centralized wireless sensor networks with communication constraints. EUSIPCO (2011)
Mauricio A. Álvarez, David Luengo, Michalis K. Titsias, Neil D. Lawrence
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels. AISTATS (2010)
Mauricio A. Álvarez, David Luengo, Neil D. Lawrence
Latent Force Models. AISTATS (2009)
David Luengo, Ignacio Santamaría, Luis Vielva
A general solution to blind inverse problems for sparse input signals. Neurocomputing 69 (1-3) (2005)
David Luengo, Ignacio Santamaría, Luis Vielva
Asymptotically optimal maximum-likelihood estimation of a class of chaotic signals using the Viterbi algorithm. EUSIPCO (2005)
David Luengo, Suleyman Serdar Kozat, Andrew C. Singer
Universal piecewise linear least squares prediction. ISIT (2004)
David Luengo, Carlos Pantaleón, Ignacio Santamaría, Luis Vielva, Jesús Ibáñez
Multiple Composite Hypothesis Testing: A Competitive Approach. J. VLSI Signal Process. 37 (2-3) (2004)
Maria Victoria Higuero, Juanjo Unzilla, Eduardo Jacob, Purificación Sáiz, David Luengo
Application of 'Attack Trees' Technique to Copyright Protection Protocols Using Watermarking and Definition of a New Transactions Protocol SecDP (Secure Distribution Protocol). MIPS (2004)
David Luengo, Ignacio Santamaría, Jesús Ibáñez, Luis Vielva, Carlos Pantaleón
A fast blind SIMO channel identification algorithm for sparse sources. IEEE Signal Process. Lett. 10 (5) (2003)
David Luengo, Ignacio Santamaría, Luis Vielva, Carlos Pantaleón
Underdetermined blind separation of sparse sources with instantaneous and convolutive mixtures. NNSP (2003)
Carlos Pantaleón, Luis Vielva, David Luengo, Ignacio Santamaría
Bayesian estimation of chaotic signals generated by piecewise-linear maps. Signal Process. 83 (3) (2003)
David Luengo, Carlos Pantaleón, Ignacio Santamaría
Bayesian estimation of discrete chaotic signals by MCMC. EUSIPCO (2002)
Deniz Erdogmus, José Carlos Príncipe, Luis Vielva, David Luengo
Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems. ICANN (2002)
Carlos Pantaleón, Luis Vielva, David Luengo, Ignacio Santamaría
Estimation of a certain class of chaotic signals: An em-based approach. ICASSP (2002)
Carlos Pantaleón, David Luengo, Ignacio Santamaría
Chaotic AR(1) model estimation. ICASSP (2001)
Carlos Pantaleón, David Luengo, Ignacio Santamaría
Optimal estimation of chaotic signals generated by piecewise-linear maps. IEEE Signal Process. Lett. 7 (8) (2000)
Carlos Pantaleón, David Luengo, Ignacio Santamaría
An efficient method for chaotic signal parameter estimation. EUSIPCO (2000)
Carlos Pantaleón, David Luengo, Ignacio Santamaría
Bayesian estimation of a class of chaotic signals. ICASSP (2000)