Observatorio de I+D+i UPM
• ESPAÑOL
• ENGLISH
INVESTIGADORES
ESTRUCTURAS DE I+D+I
ACTIVIDAD INVESTIGADORA
INNOVACIÓN
Investigador
David Luengo Garcia
Categoría Investigador
TITULAR UNIVERSIDAD
Cargos actuales
DIRECTOR DE DEPARTAMENTO.
Escuela UPM
E.T.S. DE INGENIERÍA Y SIST. DE TELECOM.
Departamento:
INGENIERÍA AUDIOVISUAL Y COMUNICACIONES
Area Conocimiento
TEORIA DE LA SEÑAL Y COMUNICACIONES
Grupo de Investigación:
Teoría de Aproximación Constructiva y Aplicaciones
Email (Directorio UPM)
david.luengo
upm.es
Teléfono (Directorio UPM)
910673380
Datos de Memorias relacionados
Proyectos de I+D+i y generación de recursos
9 Proyectos de I+D+i
1: (2013)
Diseño e implementación en Systems-on-Chip (SoC) de nuevas técnicas de acceso al medio para comunicaciones de última generación
2: (2014)
MODELOS GENERATIVOS PARA FIBRILACIÓN AURICULAR (MG-FIAR)
3: (2015)
MG-FIAR: Modelos Generativos para Fibrilación Auricular (MG-FIAR)
4: (2016)
MIMOD-PLC: Transformadas Trigonométricas Discretas para Comunicaciones MIMO por la Red Eléctrica
5: (2016)
MODELOS GENERATIVOS PARA FIBRILACIÓN AURICULAR (MG-FIAR)
6: (2017)
INNOVATIVE MULTIDISCIPLINARY CURRICULUM IN ARTIFICIAL IMPLANTS FOR BIO-ENGINEERING BSC/MSC DEGREES (BIOART)
7: (2017)
Subvención de la UPM a Grupos de Investigación
8: (2019)
Estudio de viabilidad EGPE-UPM
9: (2019)
INNOVATIVE MULTIDISCIPLINARY CURRICULUM IN ARTIFICIAL IMPLANTS FOR BIO-ENGINEERING BSC/MSC DEGREES (BIOART)
Formación de Investigadores y Movilidad
3 Estancias y sabáticos recogidos en programas oficiales
1: (2015)
Generative Bayesian Nonparametric Models for ECG Signal Processing
2: (2015)
Sparse ECG Signal Processing
3: (2016)
Estimadores de Monte Carlo Distribuidos para Grandes Conjuntos de Datos
Difusión de Resultados de Investigación
58 Artículos en revistas
1: (2012)
Almost rejectionless sampling from Nakagami-m distributions (m > 1)
2: (2012)
Efficient random variable generation: ratio of uniforms and polar rejection sampling
3: (2012)
Efficient sampling from truncated bivariate Gaussians via Box-Muller transformation
4: (2012)
Novel Fast Random Search Clustering Approach for Mixing Matrix Identification in MIMO Linear Blind Inverse Problems with Sparse Inputs
5: (2013)
Linear Latent Force Models using Gaussian Processes
6: (2014)
Efficient monte carlo methods for multi-dimensional learning with classifier chains
7: (2014)
ORTHOGONAL MCMC ALGORITHMS
8: (2015)
A fast universal self-tuned sampler within Gibbs sampling
9: (2015)
A GRADIENT ADAPTIVE POPULATION IMPORTANCE SAMPLER
10: (2015)
An Adaptive Population Importance Sampler: Learning From Uncertainty
11: (2015)
Bias Correction for Distributed Bayesian Estimators
12: (2015)
Blind analysis of atrial fibrillation electrograms: A sparsity-aware formulation
13: (2015)
Causality Analysis of Atrial Fibrillation Electrograms
14: (2015)
EFFICIENT LINEAR COMBINATION OF PARTIAL MONTE CARLO ESTIMATORS
15: (2015)
Efficient Multiple Importance Sampling Estimators
16: (2015)
Estimation of Symmetric Channels for Discrete Cosine Transform Type-I Multicarrier Systems: A Compressed Sensing Approach
17: (2015)
Independent Doubly Adaptive Rejection Metropolis Sampling Within Gibbs Sampling
18: (2015)
MCMC-Driven Adaptive Multiple Importance Sampling
19: (2015)
On Sample Generation and Weight Calculation in Multiple Importance Sampling
20: (2015)
PARALLEL INTERACTING MARKOV ADAPTIVE IMPORTANCE SAMPLING
21: (2015)
Scalable Multi-Output Label Prediction: From Classifier Chains to Classifier Trellises
22: (2015)
SMELLY PARALLEL MCMC CHAINS
23: (2016)
A HIERARCHICAL ALGORITHM FOR CAUSALITY DISCOVERY AMONG ATRIAL FIBRILLATION ELECTROGRAMS
24: (2016)
DCT-based channel estimation for single- and multicarrier communications
25: (2016)
Heretical Multiple Importance Sampling
26: (2016)
LATENT FORCE MODELS FOR EARTH OBSERVATION TIME SERIES PREDICTION
27: (2016)
MULTIPLE IMPORTANCE SAMPLING WITH OVERLAPPING SETS OF PROPOSALS
28: (2016)
Orthogonal parallel MCMC methods for sampling and optimization
29: (2016)
PARALLEL METROPOLIS CHAINS WITH COOPERATIVE ADAPTATION
30: (2016)
STICKY PROPOSAL DENSITIES FOR ADAPTIVE MCMC METHODS
31: (2017)
A Novel Channel Estimation Scheme for Multicarrier Communications with the Type-I Even Discrete Cosine Transform
32: (2017)
Adaptive Importance Sampling The past, the present, and the future
33: (2017)
ANTI-TEMPERED LAYERED ADAPTIVE IMPORTANCE SAMPLING
34: (2017)
Compact Framework for Reproducible Analysis of Finite Wordlength Effects in Linear Digital Networks
35: (2017)
Cosa: An accelerated ISTA algorithm for dictionaries based on translated waveforms
36: (2017)
Improving population Monte Carlo: Alternative weighting and resampling schemes
37: (2017)
Layered adaptive importance sampling
38: (2017)
POPULATION MONTE CARLO SCHEMES WITH REDUCED PATH DEGENERACY
39: (2018)
Adaptive independent sticky MCMC algorithms
40: (2018)
An Efficient Method to Learn Overcomplete Multi-Scale Dictionaries of ECG Signals
41: (2018)
Channel Estimation Based on the Discrete Cosine Transform Type-III Even
42: (2018)
Efficient linear fusion of partial estimators
43: (2018)
Engineering Education for HealthCare Purposes: A Ukrainian Perspective
44: (2018)
Feature Extraction of Galvanic Skin Responses by Nonnegative Sparse Deconvolution
45: (2018)
Physics-aware Gaussian processes in remote sensing
46: (2018)
Signal reconstruction in Multicarrier Comunications by means of the Discrete Cosine Transform Type-III even
47: (2018)
Sparse ECG Representation with a Multi-Scale Dictionary Derived from Real-World Signals
48: (2019)
A CLUSTERING APPROACH TO CONSTRUCT MULTI-SCALE OVERCOMPLETE DICTIONARIES FOR ECG MODELING
49: (2019)
A post-occupancy strategy to improve thermal comfort in social housing in a tropical highland climate: A case study in Bogota, Colombia
50: (2019)
Extremely efficient acceptance-rejection method for simulating uncorrelated Nakagami fading channels
51: (2019)
Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods
52: (2019)
Generalized Multiple Importance Sampling
53: (2019)
Hierarchical Algorithms for Causality Retrieval in Atrial Fibrillation Intracavitary Electrograms
54: (2019)
Neutron noise analysis of simulated mechanical and thermal-hydraulic perturbations in a PWR core
55: (2019)
On the Evaluation of Subsidy-free Grid-Connected PV Systems in Sunny Countries: an Economic Assessment
56: (2019)
On the Feasibility of SISO/MIMO-PLC based on the Discrete Cosine Transform Type-III even
57: (2019)
On the implementation of HEVC decoders with high parallelization degree with OpenMP
58: (2019)
The Coriolis mass flow meter as a volume meter for the custody transfer in liquid hydrocarbons logistics
4 Capítulos de libros
1: (2013)
Asymptotically Optimal Estimators for Chaotic Digital Communications
2: (2014)
Simulation of Multipath Fading Channels for Wireless Communication Networks
3: (2015)
MCMC-Driven Adaptive Multiple Importance Sampling
4: (2019)
Overcomplete multi-scale dictionaries for efficient representation of ECG signals
1 Cursos, seminarios y tutoriales
1: (2015)
Advanced Computational Methods for Bayesian Signal Processing
6 Otras Publicaciones
1: (2013)
Adaptive Sticky Generalized Metropolis
2: (2013)
Extremely Efficient Generation of Gamma Random Variables for $alpha \ge 1$
3: (2014)
An Adaptive Population Importance Sampler: Learning from Uncertainty
4: (2014)
Efficient Combination of Partial Monte Carlo Estimators
5: (2014)
Extremely Efficient Acceptance-Rejection Method for Simulating Uncorrelated Nakagami Fading Channels
6: (2014)
The FUSS algorithm: A Fast Universal Self-tuned Sampler within Gibbs
36 Ponencia en Congresos
1: (2012)
Sparse spectral analysis of atrial fibrillation electrograms
2: (2013)
Cross-Products LASSO
3: (2013)
Efficient Monte Carlo Optimization for Multi-Label Classifier Chains
4: (2013)
Fully Adaptive Gaussian Mixture Metropolis-Hastings Algorithm
5: (2013)
Improved Adaptive Rejection Metropolis Sampling
6: (2013)
Ratio-of-Uniforms for Unbounded Distributions
7: (2014)
An Adaptive Population Importance Sampler
8: (2014)
Grouped sparsity algorithm for Multichannel Intracardiac ECG Synchronization
9: (2014)
Independent Doubly Adaptive Rejection Metropolis Sampling
10: (2014)
Monte Carlo Limit Cycle Characterization
11: (2014)
Orthogonal MCMC Algorithms
12: (2015)
A Gradient Adaptive Population Importance Sampler
13: (2015)
Bias Correction for Distributed Bayesian Estimators
14: (2015)
Causality Analysis of Atrial Fibrillation Electrograms
15: (2015)
Efficient Linear Combination of Partial Monte Carlo Estimators
16: (2015)
On Sample Generation and Weight Calculation in Multiple Importance Sampling
17: (2015)
Parallel Interacting Markov Adaptive Importance Sampling
18: (2015)
Smelly Parallel MCMC Chains
19: (2016)
A Hierarchical Algorithm for Causality Discovery among Atrial Fibrillation Electrograms
20: (2016)
Adaptive population importance samplers: A general perspective
21: (2016)
Constructive approximation in some applications
22: (2016)
Latent force models for earth observation time series prediction
23: (2016)
Latent variable analysis of causal interactions in atrial fibrillation electrograms
24: (2016)
Multiple importance sampling with overlapping sets of proposals
25: (2016)
Parallel Metropolis Chains with Cooperative Adaptation
26: (2016)
Sticky Proposal Densities for Adaptive MCMC Methods
27: (2017)
Constructive approximation in some applications
28: (2017)
Nouveaux schémas de pondération et de rééchantillonnage en population Monte Carlo
29: (2017)
Physics-Aware Gaussian Processes for Earth Observation
30: (2018)
Channel Estimation based on the Discrete Cosine Transform Type-III Even
31: (2018)
Channel Estimation based on the Discrete Cosine Transform Type-III Even
32: (2018)
CHANNEL ESTIMATION USING TYPE-III EVEN DISCRETE COSINE TRANSFORM IN MULTICARRIER COMMUNICATIONS
33: (2019)
A Clustering Approach to Construct Multi-scale Overcomplete Dictionaries for ECG Modeling
34: (2019)
Fiducial ECG-Based Biometry: Comparison of Classifiers and Dimensionality Reduction Methods
35: (2019)
On the Feasibility of SISO/MIMO-PLC based on the Discrete Cosine Transform Type-III even
36: (2019)
Overcomplete Multi-Scale Dictionaries for E?cient Representation of ECG Signals
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S2i 2023 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
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