Outputs for SIGNAL THEORY AND COMMUNICATIONS Department (Year 2017)

Articles

• A comparison of Monte Carlo-based Bayesian parameter estimation methods for stochastic models of genetic networks
• A new algorithm for computing branching rules and Clebsch-Gordan coefficients of unitary representations of compact groups
• A novel framework for parsimonious multivariate analysis
• A robust scheme for distributed particle filtering in wireless sensors networks
• Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment
• Adaptive Importance Sampling The past, the present, and the future
• Adaptive Lagrange multiplier estimation algorithm in HEVC
• Adaptive diffusion schemes for heterogeneous networks
• An IoT reader for wireless passive electromagnetic sensors
• An analysis of the network selection problem for heterogeneous environments with user-operator joint satisfaction and multi-RAT transmission
• Bayesian adaptive algorithm for fast coding unit decision in the High Efficiency Video Coding (HEVC) standard
• Bird sound spectrogram decomposition through Non-Negative Matrix Factorization for the acoustic classification of bird species
• Blended antenna wearables for an unconstrained mobile experience
• Boosting ensembles with controlled emphasis intensity
• Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets
• Cognitive Blind Interference Alignment for Macro-Femto Networks
• Combined nonlinear filtering architectures involving sparse functional link adaptive filters
• Continuous Transmission of Spatially Coupled LDPC Code Chains
• Cooperative parallel particle filters for online model selection and applications to urban mobility
• Cumulative advantages and social capabilities in scientific mobility in the Health Sciences: The Spanish case
• DCO-OFDM Signals With Derated Power for Visible Light Communications Using an Optimized Adaptive Network-Based Fuzzy Inference System
• Design Guidelines for Gap Waveguide Technology Based on Glide-Symmetric Holey Structures
• Design of a Dielectric Rod Waveguide Antenna Array for Millimeter Waves
• Effective sample size for importance sampling based on discrepancy measures
• Expectation Propagation as Turbo Equalizer in ISI Channels
• Fiber-Coupled 2-D n-i-pn-i-p Superlattice Photomixer Array
• Finite element method to solve the spectral problem for arbitrary self-adjoint extensions of the Laplace-Beltrami operator on manifolds with a boundary
• Identifying the hidden multiplex architecture of complex systems
• Importance sampling with transformed weights
• Improving population Monte Carlo: Alternative weighting and resampling schemes
• LIBIRWLS: A parallel IRWLS library for full and budgeted SVMs
• Layered adaptive importance sampling
• Learning Mobile Communications Standards through Flexible Software Defined Radio Base Stations
• Mesh-based multi-frontal solver with reuse of partial LU factorizations for antenna array
• Neighborhood Matching for Image Retrieval
• Presence and Distribution of Rotational Conduction Points and Its Association With Scar in Patients With Persistent Atrial Fibrillation
• Probabilistic Equalization With a Smoothing Expectation Propagation Approach
• Quality Control parameters for on-site evaluation of pumped Self-Compacting Concrete
• Reshaping the broadcast sector: Regulation, business rules and the potential for evaluation of new policies = La reconfiguración del sector de radiodifusión: regulación, reglas de negocio y su potencial en la evaluación de las nuevas políticas
• Surface Plasmons/Polaritons, Surface Waves, and Zenneck Waves Clarification of the terms and a description of the concepts and their evolution
• Synchrony-Based Feature Extraction for Robust Automatic Speech Recognition
• Temporal and spatial variations of the absolute reflectivity of Jupiter and Saturn from 0.38 to 1.7 mum with PlanetCam-UPV/EHU
• The Gaia-ESO Survey: Structural and dynamical properties of the young cluster Chamaeleon I
• The evaluation of data sources using multivariate entropy tools
• Topology-Aware Space-Time Network Coding in Cellular Networks
• Training Support Vector Machines with privacy-protected data
• User profiles of an electronic mental health tool for ecological momentary assessment: MEmind

Conference Contributions

• 2017 Substrate Characterization of Rotational Activity Sites in Persistent Atrial Fibrillation Patients
• A high-SNR normal approximation for single-antenna Rayleigh block-fading channels
• Active Sensing in Human Activity Recognition
• Adapting Supervised Classification Algorithms to Arbitrary Weak Label Scenarios
• Analysis of Dispersion Error of Higher-Order Curl-Conforming Prismatic Finite Element
• Analysis of the technologies enabling the broadcast convergence
• Design of a communication, vision and sensory system for a rescuer robot in coal mine areas
• Design of a learning method based on Flipped-Classroom methodologies using SPOCs in an engineering course
• Design of antenna feed with amplified power distribution using groove-gap waveguide technology
• Detection of almost-cyclostationarity: An approach based on a multiple hypothesis test
• Distance-aware coordinated multi-point transmission for terahertz band communication
• Emotion and attention: predicting electrodermal activity through video visual descriptors
• Full proportionate functional link adaptive filters for nonlinear acoustic echo cancellation
• Generalized CMAC adaptive ensembles for concept-drifting data streams
• Graph-signal reconstruction and blind deconvolution for diffused sparse inputGraph-signal reconstruction and blind deconvolution for diffused sparse inputs
• High-power terahertz emitter arrays
• Monopulse RLSA antenna at 24 GHz based on a gap-waveguide cavity feed
• New EBG-filter design in inverted microstrip gap waveguide technology
• Normal approximations for fading channels
• On LDPC Code Ensembles with Generalized Constraints
• On the Design of Higher-Order Curl-Conforming Finite Elements and its Assembly Features
• On the information dimension rate of stochastic processes
• Pre-emphasizing Binarized Ensembles to Improve Classification Performance
• Prediction of the Degree of Parkinson's Condition Using Recordings of Patients' Voices
• Random access procedure based on an adaptive prioritization method for integration of MTC in mobile networks
• Superimposed Training for Channel Estimation in FBMC-OQAM
• Superimposed training-based channel estimation for Visible Light Communications
• Towards multimodal saliency detection: an enhancement of audio-visual correlation estimation
• mmWave photonic emitter featuring a UWB fermi tapered slot antenna

Patents

• Método y sistema para aumentar la capacidad de enlace ascendente entre un terminal de usuario y una estación base

Projects

• Asesoramiento técnico para DALI 2017
• Asesoramiento técnico para la organización de congresos en el ámbito de Machine Learning
• Colaboración en análisis de señales
• LOLITA: Information Theory for Low-Latency Wireless Communications
• Servicio de tipificación de la Base de Datos de Dominios ".es"
• Supervisión del desarrollo de algoritmos para análisis de imagen multiespectral satelital

Supervised Theses

• Approximate
  Inference in Massive MIMO Scenarios with Moment Matching Techniques
• Bayesian
  Non - parametric Models for Data Exploration
• Bio-Motivated
  Features and Deep Learning for Robust Speech Recognition
• Design
  strategies for electrically small antennas, actively matched with non-foster
  elements
• Diversidad
  en aprendizaje profundo por auto-codificación
• ENFATIZADO
  Y DIVERSIFICACIÓN EN CLASIFICACIÓN MÁQUINA
• Radio
  resource allocation algorithms for multicast OFDM Systems .
• Markov modelling on Human Activity Recognition