Petar M. Djuric

Orcid: 0000-0001-7791-3199

Affiliations:
  • Stony Brook University, NY, USA


According to our database1, Petar M. Djuric authored at least 372 papers between 1988 and 2024.

Collaborative distances:

Awards

IEEE Fellow

IEEE Fellow 2006, "For contributions to Monte Carlo based methods to signal processing.".

Timeline

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Bibliography

2024
Topology Inference of Directed Graphs by Gaussian Processes With Sparsity Constraints.
IEEE Trans. Signal Process., 2024

Explainable Learning with Gaussian Processes.
CoRR, 2024

Dagma-DCE: Interpretable, Non-Parametric Differentiable Causal Discovery.
CoRR, 2024

2023
Sequential Estimation of Gaussian Process-Based Deep State-Space Models.
IEEE Trans. Signal Process., 2023

On Causal Discovery With Convergent Cross Mapping.
IEEE Trans. Signal Process., 2023

Gaussian Process-Gated Hierarchical Mixtures of Experts.
CoRR, 2023

Over-the-Air Synchronization of Time, Phase and Frequency in a Distributed Receiving System.
IEEE Access, 2023

Estimation of Time-Varying Graph Topologies from Graph Signals.
Proceedings of the IEEE International Conference on Acoustics, 2023

A Gaussian Latent Variable Model for Incomplete Mixed Type Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

Fetal Heart Rate Analysis from a Multi-task Learning Perspective with Gaussian Processes.
Proceedings of the 31st European Signal Processing Conference, 2023

An Approach to Learning the Hierarchical Organization of the Frontal Lobe.
Proceedings of the 31st European Signal Processing Conference, 2023

Detecting Confounders in Multivariate Time Series using Strength of Causation.
Proceedings of the 31st European Signal Processing Conference, 2023

Learning from Heterogeneous Data with Deep Gaussian Processes.
Proceedings of the 9th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2023

FUSION OF GAUSSIAN PROCESSES PREDICTIONS WITH MONTE CARLO SAMPLING.
Proceedings of the 57th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2023, Pacific Grove, CA, USA, October 29, 2023

2022
Selection of Sensors for Efficient Transmitter Localization.
IEEE/ACM Trans. Netw., 2022

A Differential Measure of the Strength of Causation.
IEEE Signal Process. Lett., 2022

Fusion of Probability Density Functions.
Proc. IEEE, 2022

Amplitude and Phase Estimation of Backscatter Tag-to-Tag Channel.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2022

Unsupervised Clustering and Analysis of Contraction-Dependent Fetal Heart Rate Segments.
Proceedings of the IEEE International Conference on Acoustics, 2022

Tracking the Dimensions of Latent Spaces of Gaussian Process Latent Variable Models.
Proceedings of the IEEE International Conference on Acoustics, 2022

Online Learning for Latent Yule-Simon Processes.
Proceedings of the IEEE International Conference on Acoustics, 2022

Improving Phase-Rectified Signal Averaging for Fetal Heart Rate Analysis.
Proceedings of the IEEE International Conference on Acoustics, 2022

Boost Ensemble Learning for Classification of CTG SIGNALS.
Proceedings of the IEEE International Conference on Acoustics, 2022

Multi-Agent Navigation with Reinforcement Learning Enhanced Information Seeking.
Proceedings of the 30th European Signal Processing Conference, 2022

Inference with Deep Gaussian Process State Space Models.
Proceedings of the 30th European Signal Processing Conference, 2022

Gaussian Processes for Topology Inference of Directed Graphs.
Proceedings of the 30th European Signal Processing Conference, 2022

Characterizing Fetal Heart Rate From A State Space Perspective.
Proceedings of the 30th European Signal Processing Conference, 2022

Predicting Latent States of Dynamical Systems With State-Space Reconstruction and Gaussian Processes.
Proceedings of the 30th European Signal Processing Conference, 2022

Ensembles of Gaussian process latent variable models.
Proceedings of the 30th European Signal Processing Conference, 2022

Exploring Transfer Learning for Ventricular Tachycardia Electrophysiology Studies.
Proceedings of the Computing in Cardiology, 2022

2021
Bayesian Reconstruction of Fourier Pairs.
IEEE Trans. Signal Process., 2021

Near-Field Tracking With Large Antenna Arrays: Fundamental Limits and Practical Algorithms.
IEEE Trans. Signal Process., 2021

Exploiting Causality for Improved Prediction of Patient Volumes by Gaussian Processes.
IEEE J. Biomed. Health Informatics, 2021

Bachelor of Science in Electrical Engineering Online: A Journey of Challenges and Triumphs.
IEEE Signal Process. Mag., 2021

Performance Limits of Direct Wideband Coherent 3D Localization in Distributed Massive MIMO Systems.
Sensors, 2021

On the performance of particle filters with adaptive number of particles.
Stat. Comput., 2021

Networks of UAVs of Low-Complexity for Time-Critical Localization.
CoRR, 2021

3D Source Tracking with Large Antenna Arrays in the Fresnel Region.
Proceedings of the 22nd IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2021

Enabling Passive Backscatter Tag Localization Without Active Receivers.
Proceedings of the SenSys '21: The 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, November 15, 2021

Collaborative Backscatter Based on Phase Channel Estimation in Passive RF Tag Networks.
Proceedings of the IEEE International Conference on RFID Technology and Applications, 2021

RF Energy Harvesting and Management for Near-Zero Power Passive Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2021

Class-Imbalanced Classifiers Using Ensembles of Gaussian Processes And Gaussian Process Latent Variable Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

Identification of Uterine Contractions by An Ensemble of Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2021

Adaptive Importance Sampling Via Auto-Regressive Generative Models and Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2021

Bayesian Estimation of a Tail-Index with Marginalized Threshold.
Proceedings of the IEEE International Conference on Acoustics, 2021

Particle Gibbs Sampling for Regime-Switching State-Space Models.
Proceedings of the IEEE International Conference on Acoustics, 2021

Unsupervised Detection of Anomalies in Fetal Heart Rate Tracings using Phase Space Reconstruction.
Proceedings of the 29th European Signal Processing Conference, 2021

The Use of Gaussian Processes as Particles for Sequential Monte Carlo Estimation of Time-Varying Functions.
Proceedings of the 29th European Signal Processing Conference, 2021

Bayesian Nonparametric Dimensionality Reduction of Categorical Data for Predicting Severity of COVID-19 in Pregnant Women.
Proceedings of the 29th European Signal Processing Conference, 2021

2020
Dynamic Radar Networks of UAVs: A Tutorial Overview and Tracking Performance Comparison With Terrestrial Radar Networks.
IEEE Veh. Technol. Mag., 2020

Spectrum Patrolling With Crowdsourced Spectrum Sensors.
IEEE Trans. Cogn. Commun. Netw., 2020

GP-LVM of categorical data from test-positive COVID-19 pregnant women.
CoRR, 2020

Dynamic Radar Network of UAVs: A Joint Navigation and Tracking Approach.
IEEE Access, 2020

Reinforcement Learning for UAV Autonomous Navigation, Mapping and Target Detection.
Proceedings of the IEEE/ION Position, Location and Navigation Symposium, 2020

A Self-Biased Low Modulation Index ASK Demodulator for Implantable Devices.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Selection of Sensors for Efficient Transmitter Localization.
Proceedings of the 39th IEEE Conference on Computer Communications, 2020

A Recursive Bayesian Solution for the Excess Over Threshold Distribution with Stochastic Parameters.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Improving Convergent Cross Mapping for Causal Discovery with Gaussian Processes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Discovering Causalities from Cardiotocography Signals using Improved Convergent Cross Mapping with Gaussian Processes.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Enhanced Mixture Population Monte Carlo Via Stochastic Optimization and Markov Chain Monte Carlo Sampling.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

On Measuring Doppler Shifts between Tags in a Backscattering Tag-to-Tag Network with Applications in Tracking.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Gaussian Process State-Space Models with Time-Varying Parameters and Inducing Points.
Proceedings of the 28th European Signal Processing Conference, 2020

Estimation of Consecutively Missed Samples in Fetal Heart Rate Recordings.
Proceedings of the 28th European Signal Processing Conference, 2020

Particle Filtering Under General Regime Switching.
Proceedings of the 28th European Signal Processing Conference, 2020

Classification of 12-lead ECGs Using Intra-Heartbeat Discrete-time Fourier Transform and Inter-Heartbeat Attention.
Proceedings of the Computing in Cardiology, 2020

2019
Recursive Estimation of Dynamic RSS Fields Based on Crowdsourcing and Gaussian Processes.
IEEE Trans. Signal Process., 2019

Innovation Starts With Education: ICASSP 2019 Education Panel [SP Forum].
IEEE Signal Process. Mag., 2019

Quo Vadis ICASSP: Echoes of 2019 ICASSP in Brighton, United Kingdom: Signal Processing Meets the Needs of Modern Humankind [Conference Highlights].
IEEE Signal Process. Mag., 2019

Elucidating the Auxiliary Particle Filter via Multiple Importance Sampling [Lecture Notes].
IEEE Signal Process. Mag., 2019

Cardinality-Consensus-Based PHD Filtering for Distributed Multitarget Tracking.
IEEE Signal Process. Lett., 2019

Direct Wideband Coherent Localization by Distributed Antenna Arrays.
Sensors, 2019

Study of mm-sized Coil to Coil Backscatter Based Communication Link.
Proceedings of the 10th IEEE Annual Ubiquitous Computing, 2019

Passive Wireless Channel Estimation in RF Tag Network.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2019

RF-based Analytics Generated by Tag-to-tag Networks.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Recursive Bayesian Model for Extreme Values.
Proceedings of the IEEE International Conference on Acoustics, 2019

Modeling and Estimation of Interactions of Yule-Simon Processes.
Proceedings of the IEEE International Conference on Acoustics, 2019

Inference about Causality from Cardiotocography Signals Using Gaussian Processes.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Variational Adaptive Population Importance Sampler.
Proceedings of the IEEE International Conference on Acoustics, 2019

On Self-assessment of Proficiency of Autonomous Systems.
Proceedings of the IEEE International Conference on Acoustics, 2019

Non-Centralized Navigation for Source Localization by Cooperative UAVs.
Proceedings of the 27th European Signal Processing Conference, 2019

Adaptive importance sampling supported by a variational auto-encoder.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Extracting Interpretable Features for Fetal Heart Rate Recordings with Gaussian Processes.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Detecting Causality using Deep Gaussian Processes.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Crowd-Based Learning of Spatial Fields for the Internet of Things: From Harvesting of Data to Inference.
IEEE Signal Process. Mag., 2018

Position estimation with a millimeter-wave massive MIMO system based on distributed steerable phased antenna arrays.
EURASIP J. Adv. Signal Process., 2018

A Comparison Of Clipping Strategies For Importance Sampling.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Estimation Of Spatial Fields Of Nlos/Los Conditions For Improved Localization In Indoor Environments.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Collaborative Target-Localization and Information-Based Control in Networks of UAVs.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

Tracking of Objects in a Passive Backscattering Tag-to-Tag Network.
Proceedings of the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2018

BARNET: Towards Activity Recognition Using Passive Backscattering Tag-to-Tag Network.
Proceedings of the 16th Annual International Conference on Mobile Systems, 2018

Spectrum Patrolling with Crowdsourced Spectrum Sensors.
Proceedings of the 2018 IEEE Conference on Computer Communications, 2018

Leveraging RF Power for Intelligent Tag Networks.
Proceedings of the 2018 on Great Lakes Symposium on VLSI, 2018

Graph representation using mutual information for graph model discrimination.
Proceedings of the 26th European Signal Processing Conference, 2018

In Search for Improved Auxiliary Particle Filters.
Proceedings of the 26th European Signal Processing Conference, 2018

Improved Adaptive Importance Sampling Based on Variational Inference.
Proceedings of the 26th European Signal Processing Conference, 2018

Joint Indoor Localization and Navigation of UAVs for Network Formation Control.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part II.
IEEE Trans. Signal Process., 2017

Sequential Estimation of Hidden ARMA Processes by Particle Filtering - Part I.
IEEE Trans. Signal Process., 2017

Adapting the Number of Particles in Sequential Monte Carlo Methods Through an Online Scheme for Convergence Assessment.
IEEE Trans. Signal Process., 2017

Sequential Estimation and Diffusion of Information Over Networks: A Bayesian Approach With Exponential Family of Distributions.
IEEE Trans. Signal Process., 2017

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

Sequential Monte Carlo for inference of latent ARMA time-series with innovations correlated in time.
EURASIP J. Adv. Signal Process., 2017

Design of a backscatter-based Tag-to-Tag system.
Proceedings of the 2017 IEEE International Conference on RFID, 2017

Fetal heart rate classification by non-parametric Bayesian methods.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Multiple particle filtering for inference in the presence of state correlation of unknown mixing parameters.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Nonparametric learning for Hidden Markov Models with preferential attachment dynamics.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Bayesian learning in a network with multi-hypothesis decision exchanges.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Enhanced indoor localization through crowd sensing.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Impact of Short-Term Variations in the Generation Output of Geographically Dispersed PV Systems.
Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

Crowdsource-based signal strength field estimation by Gaussian processes.
Proceedings of the 25th European Signal Processing Conference, 2017

Recovery of missing samples in fetal heart rate recordings with Gaussian processes.
Proceedings of the 25th European Signal Processing Conference, 2017

Diffusion in networks by cooperative particle filtering.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

A particle-based approach for topology estimation of gene networks.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Recursive estimation of time-varying RSS fields based on crowdsourcing and Gaussian processes.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Bayesian selection of models of network formation.
Proceedings of the 2017 IEEE 7th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2017

Analysis of fetal heart rate series by nonparametric hidden Markov models.
Proceedings of the 51st Asilomar Conference on Signals, Systems, and Computers, 2017

2016
Distributed Bayesian Estimation of Linear Models With Unknown Observation Covariances.
IEEE Trans. Signal Process., 2016

Phase Cancellation in Backscatter-Based Tag-to-Tag Communication Systems.
IEEE Internet Things J., 2016

Sequential Monte Carlo methods under model uncertainty.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2016

Analog front end design for tags in backscatter-based tag-to-tag communication networks.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2016

A novel algorithm for adapting the number of particles in particle filtering.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Fetal heart rate analysis by hierarchical dirichlet process mixture models.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Dirichlet process mixture models for time-dependent clustering.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Opinion dynamics in multi-agent systems with binary decision exchanges.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Sequential Monte Carlo sampling for correlated latent long-memory time-series.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Online adaptation of the number of particles of SMC methods.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Bayesian estimation of unknown parameters over networks.
Proceedings of the 24th European Signal Processing Conference, 2016

2015
Vehicle Tracking Based on Fusion of Magnetometer and Accelerometer Sensor Measurements With Particle Filtering.
IEEE Trans. Veh. Technol., 2015

Indoor Tracking: Theory, Methods, and Technologies.
IEEE Trans. Veh. Technol., 2015

Guest Editorial Special Section on "Indoor Localization, Tracking, and Mapping With Heterogeneous Technologies".
IEEE Trans. Veh. Technol., 2015

Social Learning With Bayesian Agents and Random Decision Making.
IEEE Trans. Signal Process., 2015

Unsupervised State-Space Modeling Using Reproducing Kernels.
IEEE Trans. Signal Process., 2015

Detectors for Cooperative Mesh Networks With Decode-and-Forward Relays.
IEEE Trans. Signal Process., 2015

RSSI-Based Multi-Target Tracking by Cooperative Agents Using Fusion of Cross-Target Information.
IEEE Trans. Signal Process., 2015

Editorial.
IEEE Trans. Signal Inf. Process. over Networks, 2015

Resampling Methods for Particle Filtering: Classification, implementation, and strategies.
IEEE Signal Process. Mag., 2015

Distributed Sequential Estimation in Asynchronous Wireless Sensor Networks.
IEEE Signal Process. Lett., 2015

Sequential Estimation of Mixtures in Diffusion Networks.
IEEE Signal Process. Lett., 2015

Proximity Detection with RFID: A Step Toward the Internet of Things.
IEEE Pervasive Comput., 2015

Social learning with heterogeneous agents and sequential decision making.
Digit. Signal Process., 2015

Bayesian social learning in linear networks of agents with random behavior.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Particle filtering of ARMA processes of unknown order and parameters.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Real-time self-tracking in the Internet of Things.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Multiple particle filtering with improved efficiency and performance.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Diffusion filtration with approximate Bayesian computation.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

On optimal mobile RSSI-sensor positioning for multi target tracking.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Sequential Monte Carlo sampling for systems with fractional Gaussian processes.
Proceedings of the 23rd European Signal Processing Conference, 2015

On generative models for sequential formation of clusters.
Proceedings of the 23rd European Signal Processing Conference, 2015

Estimation of gene expression by a bank of particle filters.
Proceedings of the 23rd European Signal Processing Conference, 2015

Bayesian social learning with decision making in multiple rounds.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

Filtering of nonlinear time-series coupled by fractional Gaussian processes.
Proceedings of the 6th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2015

2014
Consensus-based Distributed Particle Filtering With Distributed Proposal Adaptation.
IEEE Trans. Signal Process., 2014

Fetal Heart Rate Classification Using Generative Models.
IEEE Trans. Biomed. Eng., 2014

Efficient Estimation of Linear Parameters from Correlated Node Measurements over Networks.
IEEE Signal Process. Lett., 2014

Indoor Tracking With RFID Systems.
IEEE J. Sel. Top. Signal Process., 2014

A search-free DOA estimation algorithm for coprime arrays.
Digit. Signal Process., 2014

Gaussian particle filtering in high-dimensional systems.
Proceedings of the IEEE Workshop on Statistical Signal Processing, 2014

Cooperative mesh networks with EGC detectors.
Proceedings of the IEEE 8th Sensor Array and Multichannel Signal Processing Workshop, 2014

Efficient learning by consensus over regular networks.
Proceedings of the IEEE International Conference on Acoustics, 2014

Sequential Bayesian learning in linear networks with random decision making.
Proceedings of the IEEE International Conference on Acoustics, 2014

Estimation of ARMA state processes by particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2014

Distributed Bayesian learning with a Bernoulli model.
Proceedings of the IEEE International Conference on Acoustics, 2014

Particle filtering in high-dimensional systems with Gaussian approximations.
Proceedings of the IEEE International Conference on Acoustics, 2014

Analysis of the cross-target measurement fusion likelihood for RSSI-based sensors.
Proceedings of the IEEE International Conference on Acoustics, 2014

Consensus for continuous belief functions.
Proceedings of the 22nd European Signal Processing Conference, 2014

On sequential estimation of linear models from data with correlated noise.
Proceedings of the 22nd European Signal Processing Conference, 2014

On the segmentation of switching autoregressive processes by nonparametric Bayesian methods.
Proceedings of the 22nd European Signal Processing Conference, 2014

Proximity detection with RFID in the Internet of Things.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
The Augmented Complex Particle Filter.
IEEE Trans. Signal Process., 2013

Distributed Particle Filtering in Agent Networks: A Survey, Classification, and Comparison.
IEEE Signal Process. Mag., 2013

On the convergence of two sequential Monte Carlo methods for maximum a posteriori sequence estimation and stochastic global optimization.
Stat. Comput., 2013

A Gossip Method for Optimal Consensus on a Binary State From Binary Actions.
IEEE J. Sel. Top. Signal Process., 2013

A Bayesian Approach to Data Fusion in Sensor Networks
CoRR, 2013

Data fusion based on convex optimization.
Proceedings of the IEEE International Conference on Acoustics, 2013

Replication and optimization of hedge fund risk factor exposures.
Proceedings of the IEEE International Conference on Acoustics, 2013

Tracking with RFID asynchronous measurements by particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2013

Models with products of Dirichlet processes.
Proceedings of the IEEE International Conference on Acoustics, 2013

Reaching Bayesian belief Over networks in the presence of communication noise.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Distributed estimation in the presence of correlated noises.
Proceedings of the 21st European Signal Processing Conference, 2013

Reaching Bayesian consensus in cognitive systems by decision exchanges.
Proceedings of the 21st European Signal Processing Conference, 2013

Sequential estimation of linear models in distributed settings.
Proceedings of the 21st European Signal Processing Conference, 2013

Tracking with asynchronous binary readings and layout information in RFID systems with sense-a-tags.
Proceedings of the 21st European Signal Processing Conference, 2013

A mobile system for non-centralized target tracking in presence of dynamic interferences.
Proceedings of the 21st European Signal Processing Conference, 2013

Particle filtering for high-dimensional systems.
Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012
A Particle Filtering Scheme for Processing Time Series Corrupted by Outliers.
IEEE Trans. Signal Process., 2012

Likelihood Consensus and Its Application to Distributed Particle Filtering.
IEEE Trans. Signal Process., 2012

Disturbed Bayesian Learning in Multiagent Systems: Improving our understanding of its capabilities and limitations.
IEEE Signal Process. Mag., 2012

Particle Filtering of Stochastic Volatility Modeled With Leverage.
IEEE J. Sel. Top. Signal Process., 2012

Communications with decode-and-forward relays in mesh networks
CoRR, 2012

Estimation of posterior distributions with population Monte Carlo sampling and graphical modeling.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Estimating hedge fund risk factor exposures.
Proceedings of the 13th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2012

Reaching consensus on a binary state by exchanging binary actions.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Estimation of multimodal posterior distributions of chirp parameters with population Monte Carlo sampling.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Likelihood consensus-based distributed particle filtering with distributed proposal density adaptation.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Classification of fetal heart rate series.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Target tracking with asynchronous measurements by a network of distributed mobile agents.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A Bayesian approach to covariance estimation and data fusion.
Proceedings of the 20th European Signal Processing Conference, 2012

Real time indoor tracking of tagged objects with a network of RFID readers.
Proceedings of the 20th European Signal Processing Conference, 2012

Learning dependencies among fetal heart rate features using Bayesian networks.
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2012

Classification of multivariate data using Dirichlet process mixture models.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Particle filtering for multivariate state-space models.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
The Science Behind Risk Management.
IEEE Signal Process. Mag., 2011

Distributed Gaussian particle filtering using likelihood consensus.
Proceedings of the IEEE International Conference on Acoustics, 2011

Non-centralized target tracking with mobile agents.
Proceedings of the IEEE International Conference on Acoustics, 2011

A stochastic compartmental approach to modeling and simulation of cancer spheroid formation and evolution.
Proceedings of the IEEE International Conference on Acoustics, 2011

Efficient distributed resampling for particle filters.
Proceedings of the IEEE International Conference on Acoustics, 2011

A Radio Frequency Identification System for accurate indoor localization.
Proceedings of the IEEE International Conference on Acoustics, 2011

On Localized Techniques for Detection of Voltage Stability Related Problems.
Proceedings of the 44th Hawaii International International Conference on Systems Science (HICSS-44 2011), 2011

Population Monte Carlo methodology a la Gibbs sampling.
Proceedings of the 19th European Signal Processing Conference, 2011

Non-centralized target tracking in networks of directional sensors: Further advances.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

Sequential likelihood consensus and its application to distributed particle filtering with reduced communications and latency.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

Implementation of NICHD diagnostic criteria for feature extraction and classification of fetal heart rate signals.
Proceedings of the Conference Record of the Forty Fifth Asilomar Conference on Signals, 2011

2010
Study of Algorithmic and Architectural Characteristics of Gaussian Particle Filters.
J. Signal Process. Syst., 2010

Assessment of nonlinear dynamic models by Kolmogorov-Smirnov statistics.
IEEE Trans. Signal Process., 2010

Joint Model Selection and Parameter Estimation by Population Monte Carlo Simulation.
IEEE J. Sel. Top. Signal Process., 2010

From Nature to Methods and Back to Nature.
Proceedings of the SECRYPT 2010, 2010

Evaluation of a method's robustness.
Proceedings of the IEEE International Conference on Acoustics, 2010

A stochastic model of proliferation of cancer stem cells and its estimation by particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2010

On Predicting the Times to Failure of Power Equipment.
Proceedings of the 43rd Hawaii International International Conference on Systems Science (HICSS-43 2010), 2010

Multiple marginalized population Monte Carlo.
Proceedings of the 18th European Signal Processing Conference, 2010

2009
Sensor self-localization with beacon position uncertainty.
Signal Process., 2009

SDR-based radar system for meteor detection.
Proceedings of the 16th International Conference on Digital Signal Processing, 2009

Data-driven online variational filtering in wireless sensor networks.
Proceedings of the IEEE International Conference on Acoustics, 2009

Model assessment with Kolmogorov-Smirnov statistics.
Proceedings of the IEEE International Conference on Acoustics, 2009

Assessing robustness of particle filtering by the Kolmogorov-Smirnov statistics.
Proceedings of the IEEE International Conference on Acoustics, 2009

Marginalized population Monte Carlo.
Proceedings of the IEEE International Conference on Acoustics, 2009

Stochastic modeling of second order reactions using a moment propagation method.
Proceedings of the 2009 IEEE International Workshop on Genomic Signal Processing and Statistics, 2009

Estimation of stochastic rate constants and tracking of species in biochemical networks with second-order reactions.
Proceedings of the 17th European Signal Processing Conference, 2009

2008
Target Tracking by Particle Filtering in Binary Sensor Networks.
IEEE Trans. Signal Process., 2008

On new stochastic approaches for solving forward and backward problems of biochemical networks.
Proceedings of the 2008 IEEE Information Theory Workshop, 2008

Stochastic simulation of coupled chemical reactions using recursive methods.
Proceedings of the IEEE International Conference on Acoustics, 2008

RLS-assisted cost reference particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2008

Target tracking with mobile sensors using cost-reference particle filtering.
Proceedings of the IEEE International Conference on Acoustics, 2008

A stochastic approach to solving inverse problems of biochemical networks.
Proceedings of the IEEE International Conference on Acoustics, 2008

Particle filtering and the inverse problem of biochemical networks.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Session TA7b: Adaptive methods and Monte Carlo signal processing.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

Complex systems and particle filtering.
Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008

2007
Design Methodology for Domain Specific Parameterizable Particle Filter Realizations.
IEEE Trans. Circuits Syst. I Regul. Pap., 2007

Performance Comparison of Gaussian-Based Filters Using Information Measures.
IEEE Signal Process. Lett., 2007

Target tracking by fusion of random measures.
Signal Image Video Process., 2007

Performance comparison of EKF and particle filtering methods for maneuvering targets.
Digit. Signal Process., 2007

Tracking with Biased Measurements of Signal Strength Sensors.
Proceedings of the 15th International Conference on Digital Signal Processing, 2007

Sequential Estimation by Combined cost-Reference Particle and Kalman Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2007

Cost-Based Monte Carlo Sampling Approaches for Sensor Self-Localization Under Beacon Position Uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2007

Particle Filtering for Target Tracking with Mobile Sensors.
Proceedings of the IEEE International Conference on Acoustics, 2007

Multiple Particle Filtering.
Proceedings of the IEEE International Conference on Acoustics, 2007

Fusion of information from biased sensor data by particle filtering.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Design and Implementation of Flexible Resampling Mechanism for High-Speed Parallel Particle Filters.
J. VLSI Signal Process., 2006

High-throughput scalable parallel resampling mechanism for effective redistribution of particles.
IEEE Trans. Signal Process., 2006

Erratum to "A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics".
EURASIP J. Adv. Signal Process., 2006

Prediction of power equipment failures based on chronological failure records.
Proceedings of the International Symposium on Circuits and Systems (ISCAS 2006), 2006

Maneuvering Target Tracking with Simplified Cost Reference Particle Filters.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Target Tracking in a Two-Tiered Hierarchical Sensor Network.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Tracking of Time-Varying Number of Moving Targets in Wireless Sensor Fields by Particle Filtering.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Distributed Architecture and Interconnection Scheme for Multiple Model Particle Filters.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

New Probabilistic Method for Estimation of Equipment Failures and Development of Replacement Strategies.
Proceedings of the 39th Hawaii International International Conference on Systems Science (HICSS-39 2006), 2006

Fusion of Information for Sensor Self-Localization by a Monte Carlo Method.
Proceedings of the 9th International Conference on Information Fusion, 2006

Advances in cost-reference particle filtering.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
Bayesian detection for BLAST.
IEEE Trans. Signal Process., 2005

A sequential Monte Carlo method for adaptive blind timing estimation and data detection.
IEEE Trans. Signal Process., 2005

Resampling algorithms and architectures for distributed particle filters.
IEEE Trans. Signal Process., 2005

Signal Processing: is the future bright? [from The Editor].
IEEE Signal Process. Mag., 2005

Adaptive Blind Multiuser Detection over Flat Fast Fading Channels Using Particle Filtering.
EURASIP J. Wirel. Commun. Netw., 2005

Simplifying Physical Realization of Gaussian Particle Filters with Block-Level Pipeline Control.
EURASIP J. Adv. Signal Process., 2005

Generic Hardware Architectures for Sampling and Resampling in Particle Filters.
EURASIP J. Adv. Signal Process., 2005

An application of system theory to stochastic models for first order chemical reactions.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Joint estimation of states and transition functions of dynamic systems using cost-reference particle filtering.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Tracking with particle filtering in tertiary wireless sensor networks.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Decision fusion for distributed target tracking using cost reference particle filtering.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Blind equalization of frequency-selective channels by sequential importance sampling.
IEEE Trans. Signal Process., 2004

A blind particle filtering detector of signals transmitted over flat fading channels.
IEEE Trans. Signal Process., 2004

Criteria for ieee sp paper awards-can they be improved? [From the editor].
IEEE Signal Process. Mag., 2004

A hybrid importance function for particle filtering.
IEEE Signal Process. Lett., 2004

An efficient fixed-point implementation of residual resampling scheme for high-speed particle filters.
IEEE Signal Process. Lett., 2004

A sequential Monte Carlo technique for blind synchronization and detection in frequency-flat Rayleigh fading wireless channels.
Signal Process., 2004

Blind sequential detection for Rayleigh fading channels using hybrid Monte Carlo-recursive identification algorithms.
Signal Process., 2004

A New Class of Particle Filters for Random Dynamic Systems with Unknown Statistics.
EURASIP J. Adv. Signal Process., 2004

Editorial.
EURASIP J. Adv. Signal Process., 2004

Resampling Algorithms for Particle Filters: A Computational Complexity Perspective.
EURASIP J. Adv. Signal Process., 2004

Blind equalization for time-varying channels and multiple samples processing using particle filtering.
Digit. Signal Process., 2004

A design complexity comparison method for loop-based signal processing algorithms: particle filters.
Proceedings of the 2004 International Symposium on Circuits and Systems, 2004

A particle filter for blind timing recovery and data detection in fast fading wireless channels.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Density assisted particle filters for state and parameter estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Maneuvering target tracking using cost reference particle filtering.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

Monte Carlo methods for signal processing: Recent advances.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Stochastic simulation and parameter estimation of first order chemical reactions.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

Algorithmic modification of Particle Filters for hardware implementation.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Gaussian sum particle filtering.
IEEE Trans. Signal Process., 2003

Gaussian particle filtering.
IEEE Trans. Signal Process., 2003

Particle filtering.
IEEE Signal Process. Mag., 2003

Detection with particle filtering in BLAST systems.
Proceedings of IEEE International Conference on Communications, 2003

Joint symbol detection and timing estimation using particle filtering.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Improving frequency resolution for correlation-based spectral estimation methods using subband decomposition.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

New resampling algorithms for particle filters.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Joint velocity estimation and symbol detection in non-stationary fading channels by particle filtering.
Proceedings of the Global Telecommunications Conference, 2003

2002
Multibeam cellular mobile communications with dynamic channel assignment.
IEEE Trans. Veh. Technol., 2002

Multiuser detection of synchronous code-division multiple-access signals by perfect sampling.
IEEE Trans. Signal Process., 2002

Perfect sampling: a review and applications to signal processing.
IEEE Trans. Signal Process., 2002

Guest editorial special issue on monte carlo methods for statistical signal processing.
IEEE Trans. Signal Process., 2002

An MCMC sampling approach to estimation of nonstationary hidden Markov models.
IEEE Trans. Signal Process., 2002

Joint Estimation and Decoding of Space-Time Trellis Codes.
EURASIP J. Adv. Signal Process., 2002

Variable Selection by Perfect Sampling.
EURASIP J. Adv. Signal Process., 2002

Sequential Parameter Estimation of Time-Varying Non-Gaussian Autoregressive Processes.
EURASIP J. Adv. Signal Process., 2002

Blind equalization by sequential importance sampling.
Proceedings of the 2002 International Symposium on Circuits and Systems, 2002

Sequential detector for nonlinear channels with applications to satellite communications.
Proceedings of the IEEE International Conference on Acoustics, 2002

A new importance function for particle filtering and its application to blind detection in flat fading channels.
Proceedings of the IEEE International Conference on Acoustics, 2002

Sequential particle filtering in the presence of additive Gaussian noise with unknown parameters.
Proceedings of the IEEE International Conference on Acoustics, 2002

Multiuser detection with particle filtering.
Proceedings of the 11th European Signal Processing Conference, 2002

A blind particle filtering detector for joint channel estimation, tracking and data detection over flat fading channels.
Proceedings of the 11th European Signal Processing Conference, 2002

Applications of particle filtering to communications: A review.
Proceedings of the 11th European Signal Processing Conference, 2002

2001
Model selection by MCMC computation.
Signal Process., 2001

Classification of Digital Modulations Using MCMC Methods.
Monte Carlo Methods Appl., 2001

On-line model selection of nonstationary time series using Gerschgorin disks.
Proceedings of the IEEE International Conference on Acoustics, 2001

Bayesian estimation of chirplet signals by MCMC sampling.
Proceedings of the IEEE International Conference on Acoustics, 2001

Classification of digital modulations by MCMC sampling.
Proceedings of the IEEE International Conference on Acoustics, 2001

Gaussian sum particle filtering for dynamic state space models.
Proceedings of the IEEE International Conference on Acoustics, 2001

Multiuser detection of synchronous CDMA signals by the Gibbs coupler.
Proceedings of the IEEE International Conference on Acoustics, 2001

Adaptive signal processing by particle filters and discounting of old measurements.
Proceedings of the IEEE International Conference on Acoustics, 2001

Performance comparison of BNN and MPNN on proben1 database.
Proceedings of the ISCA 16th International Conference Computers and Their Applications, 2001

Sequential Estimation of Signals under Model Uncertainty.
Proceedings of the Sequential Monte Carlo Methods in Practice, 2001

2000
Estimation of a Bernoulli parameter p from imperfect trials.
IEEE Signal Process. Lett., 2000

Estimation of chirp signals by MCMC.
Proceedings of the IEEE International Conference on Acoustics, 2000

Sequential Monte Carlo sampling detector for Rayleigh fast-fading channels.
Proceedings of the IEEE International Conference on Acoustics, 2000

Bayesian detection of transient signals in colored noise.
Proceedings of the IEEE International Conference on Acoustics, 2000

Sequential estimation of random parameters under model uncertainty.
Proceedings of the IEEE International Conference on Acoustics, 2000

Hybrid Monte Carlo - Recursive identification algorithms for blind detection over a Rayleigh fading channel.
Proceedings of the 10th European Signal Processing Conference, 2000

Choosing priors for an important class of signal processing problems.
Proceedings of the 10th European Signal Processing Conference, 2000

Sequential estimation of probability of events.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Multibeam cellular communication systems with dynamic channel assignment across multiple sectors.
Wirel. Networks, 1999

A multibeam medium access scheme for multiple services in wireless cellular communications.
Proceedings of the 1999 IEEE International Conference on Communications: Global Convergence Through Communications, 1999

Gibbs sampling approach for generation of truncated multivariate Gaussian random variables.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Estimation of nonstationary hidden Markov models by MCMC sampling.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
MMSE estimation of nonlinear parameters of multiple linear/quadratic chirps.
IEEE Trans. Signal Process., 1998

Asymptotic MAP criteria for model selection.
IEEE Trans. Signal Process., 1998

Detection and estimation of signals by reversible jump Markov chain Monte Carlo computations.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Variable selection by a reversible jump MCMC approach.
Proceedings of the 9th European Signal Processing Conference, 1998

1997
EM algorithm for image segmentation initialized by a tree structure scheme.
IEEE Trans. Image Process., 1997

On the detection of edges in vector images.
IEEE Trans. Image Process., 1997

Uniform random parameter generation of stable minimum-phase real ARMA (p, q) processes.
IEEE Signal Process. Lett., 1997

Cluster validation criteria for image segmentation.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Using the bootstrap to select models.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Parameter estimation for non-Gaussian autoregressive processes.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

1996
A model selection rule for sinusoids in white Gaussian noise.
IEEE Trans. Signal Process., 1996

Model order selection of damped sinusoids in noise by predictive densities.
IEEE Trans. Signal Process., 1996

Unsupervised vector image segmentation by a tree structure-ICM algorithm.
IEEE Trans. Medical Imaging, 1996

An iterative MMSE procedure for parameter estimation of damped sinusoidal signals.
Signal Process., 1996

A novel approach to detection of closely spaced sinusoids.
Signal Process., 1996

MMSE parameter estimation of multiple chirp signals.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

Unsupervised vector image segmentation by the ICM method.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

On the processing of piecewise-constant signals by hierarchical models with application to single ion channel currents.
Proceedings of the 1996 IEEE International Conference on Acoustics, 1996

1995
Bayesian detection and estimation of cisoids in colored noise.
IEEE Trans. Signal Process., 1995

Bayesian spectrum estimation of harmonic signals.
IEEE Signal Process. Lett., 1995

A Novel Approach to Detection of Closely Spaced Sinisoids.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

A Bayesian Model Order Determination Rule for Harmonic Signals.
Proceedings of the 1995 IEEE International Symposium on Circuits and Systems, ISCAS 1995, Seattle, Washington, USA, April 30, 1995

Model order selection of damped sinusoids by predictive densities.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Model selection based on Bayesian predictive densities and multiple data records.
IEEE Trans. Signal Process., 1994

Detection and estimation of DOA's of signals via Bayesian predictive densities.
IEEE Trans. Signal Process., 1994

Bayesian Detection and MMSE Frequency Estimation of Sinusoidal Signals via Adaptive Importance Sampling.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

Bayesian procedure for the Detection of Damped Signals.
Proceedings of the 1994 IEEE International Symposium on Circuits and Systems, ISCAS 1994, London, England, UK, May 30, 1994

An efficient Bayes solution to AR signal modelling for short sequences.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

A MAP solution to off-line segmentation of signals.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Detection and estimation of multiple cisoids in colored noise by Bayesian predictive densities.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
Frequency estimation of sinusoids in colored noise.
Proceedings of the 1993 IEEE International Symposium on Circuits and Systems, 1993

Simultaneous detection and frequency estimation of sinusoidal signals.
Proceedings of the IEEE International Conference on Acoustics, 1993

Detection and localization of multiple sources via Bayesian predictive densities.
Proceedings of the IEEE International Conference on Acoustics, 1993

1992
Order selection of autoregressive models.
IEEE Trans. Signal Process., 1992

Segmentation of nonstationary signals.
Proceedings of the 1992 IEEE International Conference on Acoustics, 1992

1991
Model order estimation of 2D autoregressive processes.
Proceedings of the 1991 International Conference on Acoustics, 1991

1990
Parameter estimation of chirp signals.
IEEE Trans. Acoust. Speech Signal Process., 1990

Predictive probability as a criterion for model selection.
Proceedings of the 1990 International Conference on Acoustics, 1990

1989
A simple frequency rate estimator.
Proceedings of the IEEE International Conference on Acoustics, 1989

1988
An approximate maximum likelihood ARMA estimator based on the power cepstrum.
Proceedings of the IEEE International Conference on Acoustics, 1988


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