David Luengo

According to our database1, David Luengo authored at least 73 papers between 2000 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms.
IEEE J. Biomedical and Health Informatics, 2019

Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels.
Communications in Statistics - Simulation and Computation, 2019

Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

On the Feasibility of SISO /MIMO-PLC based on the Discrete Cosine Transform Type-III even.
Proceedings of the 42nd International Conference on Telecommunications and Signal Processing, 2019

A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling.
Proceedings of the IEEE International Conference on Acoustics, 2019

2018
Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution.
IEEE J. Biomedical and Health Informatics, 2018

Adaptive independent sticky MCMC algorithms.
EURASIP J. Adv. Sig. Proc., 2018

Efficient linear fusion of partial estimators.
Digital Signal Processing, 2018

Physics-aware Gaussian processes in remote sensing.
Appl. Soft Comput., 2018

Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Signal Reconstruction in Multicarrier Comunications by Means of the Discrete Cosine Transform Type-III Even.
Proceedings of the 41st International Conference on Telecommunications and Signal Processing, 2018

Channel Estimation Using Type-III Even Discrete Cosine Transform in Multicarrier Communications.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Channel Estimation Based on the Discrete Cosine Transform Type-III Even.
Proceedings of the 26th European Signal Processing Conference, 2018

2017
Adaptive Importance Sampling: The past, the present, and the future.
IEEE Signal Process. Mag., 2017

Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms.
Signal Processing, 2017

Improving population Monte Carlo: Alternative weighting and resampling schemes.
Signal Processing, 2017

Layered adaptive importance sampling.
Statistics and Computing, 2017

Physics-Aware Gaussian Processes for Earth Observation.
Proceedings of the Image Analysis - 20th Scandinavian Conference, 2017

Anti-tempered layered adaptive importance sampling.
Proceedings of the 22nd International Conference on Digital Signal Processing, 2017

Compact framework for reproducible analysis of finite wordlength effects in linear digital networks.
Proceedings of the 25th European Signal Processing Conference, 2017

A novel channel estimation scheme for multicarrier communications with the Type-I even discrete cosine transform.
Proceedings of the 25th European Signal Processing Conference, 2017

Population Monte Carlo schemes with reduced path degeneracy.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

2016
Heretical Multiple Importance Sampling.
IEEE Signal Process. Lett., 2016

DCT-based channel estimation for single- and multicarrier communications.
Signal Processing, 2016

Orthogonal parallel MCMC methods for sampling and optimization.
Digital Signal Processing, 2016

Sticky proposal densities for adaptive MCMC methods.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Multiple importance sampling with overlapping sets of proposals.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Latent force models for earth observation time series prediction.
Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Adaptive population importance samplers: A general perspective.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Parallel metropolis chains with cooperative adaptation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

A hierarchical algorithm for causality discovery among atrial fibrillation electrograms.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Latent Variable Analysis of Causal Interactions in Atrial Fibrillation Electrograms.
Proceedings of the Computing in Cardiology, CinC 2016, Vancouver, 2016

2015
Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling.
IEEE Trans. Signal Processing, 2015

An Adaptive Population Importance Sampler: Learning From Uncertainty.
IEEE Trans. Signal Processing, 2015

Efficient Multiple Importance Sampling Estimators.
IEEE Signal Process. Lett., 2015

Scalable multi-output label prediction: From classifier chains to classifier trellises.
Pattern Recognition, 2015

Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation.
Integrated Computer-Aided Engineering, 2015

A fast universal self-tuned sampler within Gibbs sampling.
Digital Signal Processing, 2015

Smelly parallel MCMC chains.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Efficient linear combination of partial Monte Carlo estimators.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

A gradient adaptive population importance sampler.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Parallel interacting Markov adaptive importance sampling.
Proceedings of the 23rd European Signal Processing Conference, 2015

Causality Analysis of Atrial Fibrillation Electrograms.
Proceedings of the Computing in Cardiology, 2015

Bias correction for distributed Bayesian estimators.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

On sample generation and weight calculation in multiple importance sampling.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Efficient monte carlo methods for multi-dimensional learning with classifier chains.
Pattern Recognition, 2014

Orthogonal MCMC algorithms.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Independent doubly Adaptive Rejection Metropolis Sampling.
Proceedings of the IEEE International Conference on Acoustics, 2014

An adaptive population importance sampler.
Proceedings of the IEEE International Conference on Acoustics, 2014

Monte Carlo limit cycle characterization.
Proceedings of the IEEE International Conference on Acoustics, 2014

Grouped sparsity algorithm for multichannel intracardiac ECG synchronization.
Proceedings of the 22nd European Signal Processing Conference, 2014

2013
Cross-products LASSO.
Proceedings of the IEEE International Conference on Acoustics, 2013

Fully adaptive Gaussian mixture Metropolis-Hastings algorithm.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Novel fast random search clustering algorithm for mixing matrix identification in MIMO linear blind inverse problems with sparse inputs.
Neurocomputing, 2012

Efficient Monte Carlo Optimization for Multi-label Classifier Chains
CoRR, 2012

Sparse spectral analysis of atrial fibrillation electrograms.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

2011
Linear Latent Force Models using Gaussian Processes
CoRR, 2011

Distributed target detection in centralized wireless sensor networks with communication constraints.
Proceedings of the 19th European Signal Processing Conference, 2011

2010
Efficient Multioutput Gaussian Processes through Variational Inducing Kernels.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

2009
Latent Force Models.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2005
A general solution to blind inverse problems for sparse input signals.
Neurocomputing, 2005

Asymptotically optimal maximum-likelihood estimation of a class of chaotic signals using the Viterbi algorithm.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Multiple Composite Hypothesis Testing: A Competitive Approach.
VLSI Signal Processing, 2004

Application of 'Attack Trees' Technique to Copyright Protection Protocols Using Watermarking and Definition of a New Transactions Protocol SecDP (Secure Distribution Protocol).
Proceedings of the Interactive Multimedia and Next Generation Networks: Second International Workshop on Multimedia Interactive Protocols and Systems, 2004

Universal piecewise linear least squares prediction.
Proceedings of the 2004 IEEE International Symposium on Information Theory, 2004

2003
Bayesian estimation of chaotic signals generated by piecewise-linear maps.
Signal Processing, 2003

Underdetermined blind separation of sparse sources with instantaneous and convolutive mixtures.
Proceedings of the NNSP 2003, 2003

2002
Estimation of a certain class of chaotic signals: An em-based approach.
Proceedings of the IEEE International Conference on Acoustics, 2002

Potential Energy and Particle Interaction Approach for Learning in Adaptive Systems.
Proceedings of the Artificial Neural Networks, 2002

Bayesian estimation of discrete chaotic signals by MCMC.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Chaotic AR(1) model estimation.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
Bayesian estimation of a class of chaotic signals.
Proceedings of the IEEE International Conference on Acoustics, 2000

An efficient method for chaotic signal parameter estimation.
Proceedings of the 10th European Signal Processing Conference, 2000


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