Peter Gerstoft

Orcid: 0000-0002-0471-062X

According to our database1, Peter Gerstoft authored at least 110 papers between 1997 and 2024.

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

Timeline

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Bibliography

2024
Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOA.
IEEE Trans. Signal Process., 2024

Robust and sparse M-estimation of DOA.
Signal Process., 2024

Scaling Continuous Kernels with Sparse Fourier Domain Learning.
CoRR, 2024

Efficient Sound Field Reconstruction with Conditional Invertible Neural Networks.
CoRR, 2024

Spoofing Attack Detection in the Physical Layer with Robustness to User Movement.
Proceedings of the IEEE Wireless Communications and Networking Conference, 2024

Detection and Characterization of Unintended RF Emissions on Wideband Real Data.
Proceedings of the International Conference on Signal Processing and Communications, 2024

Joint Estimation of Channel, Range, and Doppler for FMCW Radar with Sparse Bayesian Learning.
Proceedings of the 25th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2024

Deep Learning-based Modulation Classification of Practical OFDM Signals for Spectrum Sensing.
Proceedings of the IEEE INFOCOM 2024, 2024

Atomic Norm Denoising for Multi-Frequency-Snapshot Doa Estimation.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Deep-Learning-based Spatial Acoustic Properties Recovery from Incomplete Signals.
Proceedings of the 13th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2024

Fusion of Multi-Resolution Seismic Tomography Maps with Physics-Informed Probability Graphical Models.
Proceedings of the IEEE International Conference on Acoustics, 2024

Non-Uniform Frequency Spacing for Regularization-Free Gridless DOA.
Proceedings of the IEEE International Conference on Acoustics, 2024

Multi-Source DOA Estimation With Statistical Coverage Guarantees.
Proceedings of the IEEE International Conference on Acoustics, 2024

Bayesian Optimization with Gaussian Processes for Robust Localization.
Proceedings of the IEEE International Conference on Acoustics, 2024

2023
RML22: Realistic Dataset Generation for Wireless Modulation Classification.
IEEE Trans. Wirel. Commun., November, 2023

Gridless DOA Estimation With Multiple Frequencies.
IEEE Trans. Signal Process., 2023

SD-PINN: Deep Learning based Spatially Dependent PDEs Recovery.
CoRR, 2023

Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum Sensing.
Proceedings of the Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems, 2023

DOA Uncertainty Quantification With Conformal Prediction.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Empiric Bayesian Inversion of Evaporation Ducts From Synthetic Phased-Array Data.
Proceedings of the IEEE International Conference on Acoustics, 2023

SD-PINN: Physics Informed Neural Networks for Spatially Dependent PDES.
Proceedings of the IEEE International Conference on Acoustics, 2023

Deep Learning-Based Modulation Classification for OFDM Systems Without Symbol-Level Synchronization.
Proceedings of the IEEE International Conference on Acoustics, 2023

Direction-of-Arrival Estimation Using Gaussian Process Interpolation.
Proceedings of the IEEE International Conference on Acoustics, 2023

Robust Sparse Bayesian Learning for DOA.
Proceedings of the 31st European Signal Processing Conference, 2023

Data Centric Approach to Modulation Classification.
Proceedings of the 15th International Conference on COMmunication Systems & NETworkS, 2023

2022
DTU three-channel room impulse response dataset for direction of arrival estimation 2020.
Dataset, May, 2022

Difference-Frequency MUSIC for DOAs.
IEEE Signal Process. Lett., 2022

Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array Networks.
IEEE Internet Things J., 2022

Spoofing Attack Detection in the Physical Layer with Commutative Neural Networks.
CoRR, 2022

Deep Learning Object Detection Approaches to Source Identification.
CoRR, 2022

Scatterer Identification by Atomic Norm Minimization in Vehicular mm-Wave Propagation Channels.
IEEE Access, 2022

Gridless DOA Estimation Under the Multi-Frequency Model.
Proceedings of the IEEE International Conference on Acoustics, 2022

Memory in Echo State Networks and the Controllability Matrix Rank.
Proceedings of the IEEE International Conference on Acoustics, 2022

Learning-Aided Initialization for Variational Bayesian DOA Estimation.
Proceedings of the IEEE International Conference on Acoustics, 2022

DOA M-Estimation Using Sparse Bayesian Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Data-Driven Spatially Dependent PDE Identification.
Proceedings of the IEEE International Conference on Acoustics, 2022

Semi-Supervised Source Localization With Residual Physical Learning.
Proceedings of the IEEE International Conference on Acoustics, 2022

Experimental Validation of Wideband SBL Models for DOA Estimation.
Proceedings of the 30th European Signal Processing Conference, 2022

High Resolution Spectral Analysis and Signal Segregation Using the Polyphase Channelizer.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays.
IEEE Trans. Signal Process., 2021

Audio scene monitoring using redundant un-localized microphone arrays.
CoRR, 2021

Semi-Supervised Source Localization in Reverberant Environments With Deep Generative Modeling.
IEEE Access, 2021

Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter Matrix.
Proceedings of the 25th International ITG Workshop on Smart Antennas, 2021

SSLIDE: Sound Source Localization for Indoors Based on Deep Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021

Leaky Integrator Dynamical Systems and Reachable Sets.
Proceedings of the IEEE International Conference on Acoustics, 2021

Alternating Projections Gridless Covariance-Based Estimation For DOA.
Proceedings of the IEEE International Conference on Acoustics, 2021

Novel Training Methodology to Enhance Deep Learning Based Modulation Classification.
Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020
Robust estimation of DOA from array data at low SNR.
Signal Process., 2020

Unsupervised clustering of coral reef bioacoustics.
CoRR, 2020

Semi-Supervised Source Localization with Deep Generative Modeling.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Parametric Bootstrapping of Array Data with A Generative Adversarial Network.
Proceedings of the 11th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2020

Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation Localization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Variational Bayesian Estimation of Time-Varying DOAs.
Proceedings of the IEEE 23rd International Conference on Information Fusion, 2020

Over The Air Performance of Deep Learning for Modulation Classification across Channel Conditions.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Sequential Sparse Bayesian Learning For Doa.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

Sparse Approximation of an Outdoor-to-Indoor Massive MIMO Channel Measurement.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020

2019
Grid-less variational Bayesian line spectral estimation with multiple measurement vectors.
Signal Process., 2019

Sparse Bayesian learning with multiple dictionaries.
Signal Process., 2019

DOA Estimation in heteroscedastic noise.
Signal Process., 2019

Robust Ocean Acoustic Localization With Sparse Bayesian Learning.
IEEE J. Sel. Top. Signal Process., 2019

Machine learning in acoustics: a review.
CoRR, 2019

Sound source ranging using a feed-forward neural network with fitting-based early stopping.
CoRR, 2019

A Deep Network for Single-Snapshot Direction of Arrival Estimation.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Gridless DOA Estimation via. Alternating Projections.
Proceedings of the IEEE International Conference on Acoustics, 2019

2D Beamforming on Sparse Arrays with Sparse Bayesian Learning.
Proceedings of the IEEE International Conference on Acoustics, 2019

Maximum-likelihood DOA estimation at low SNR in Laplace-like noise.
Proceedings of the 27th European Signal Processing Conference, 2019

Global Robustness Characterization of DOA Estimators by Breakdown Detection.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

Wave Equation Extraction from A Video Using Sparse Modeling.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Travel Time Tomography With Adaptive Dictionaries.
IEEE Trans. Computational Imaging, 2018

Variational Bayesian Inference of Line Spectral Estimation with Multiple Measurement Vectors.
CoRR, 2018

Sparse Bayesian Learning for Directions of Arrival on an FPGA.
Proceedings of the 2018 IEEE Statistical Signal Processing Workshop, 2018

Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested Arrays.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Sparse Bayesian Learning for DOA Estimation of Correlated Sources.
Proceedings of the 10th IEEE Sensor Array and Multichannel Signal Processing Workshop, 2018

Doa Estimation in Heteroscedastic Noise with Sparse Bayesian Learning.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Adaptive Travel Time Tomography with Local Sparsity.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Array Shape Calibration Using Low Rank Projections.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Using graph clustering to locate sources within a dense sensor array.
Signal Process., 2017

c-LASSO and its dual for sparse signal estimation from array data.
Signal Process., 2017

Source localization in an ocean waveguide using supervised machine learning.
CoRR, 2017

Multi-frequency sparse Bayesian learning with uncertainty models.
CoRR, 2017

Sparse Bayesian learning with uncertain sensing matrix.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Regularization of geophysical inversion using dictionary learning.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Sparse Bayesian learning with multiple dictionaries.
Proceedings of the 2017 IEEE Global Conference on Signal and Information Processing, 2017

Graph clustering for localization within a sensor array.
Proceedings of the 25th European Signal Processing Conference, 2017

2016
Multisnapshot Sparse Bayesian Learning for DOA.
IEEE Signal Process. Lett., 2016

Multi Snapshot Sparse Bayesian Learning for DOA Estimation.
CoRR, 2016

Dictionary learning of sound speed profiles.
CoRR, 2016

Locating sources in a dense array through network-based clustering.
Proceedings of the 2016 Information Theory and Applications Workshop, 2016

Weiss-Weinstein bounds for various priors.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

Wideband Sparse Bayesian Learning for DOA estimation from multiple snapshots.
Proceedings of the 2016 IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM), 2016

2015
Grid-free compressive beamforming.
CoRR, 2015

Resolving Weak Sources within a Dense Array using a Network Approach.
CoRR, 2015

Beamforming of the Residuals is the LASSO's Dual.
CoRR, 2015

Single and multiple snapshot compressive beamforming.
CoRR, 2015

Multiple snapshot compressive beamforming.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2013
Analytic Sequential Weiss-Weinstein Bounds.
IEEE Trans. Signal Process., 2013

Sequential Bayesian Sparse Signal Reconstruction Using Array Data.
IEEE Trans. Signal Process., 2013

Effect of Medium Attenuation on the Asymptotic Eigenvalues of Noise Covariance Matrices.
IEEE Signal Process. Lett., 2013

Oceansub-bottom sensing using randommatrixmodels.
Proceedings of the 2013 Asilomar Conference on Signals, 2013

2012
Asymptotic Eigenvalue Density of Noise Covariance Matrices.
IEEE Trans. Signal Process., 2012

Passive acoustic monitoring using random matrix theory.
Proceedings of the IEEE Statistical Signal Processing Workshop, 2012

Predictive state vector encoding for decentralized field estimation in sensor networks.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Localization of acoustic sources utilizing a decentralized particle filter.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Bayesian sparse sensing of the Japanese 2011 earthquake.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

Session TA8a1: Array signal processing II.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012

2011
Localization of acoustic sources using a decentralized particle filter.
EURASIP J. Wirel. Commun. Netw., 2011

Bayesian sparse wideband source reconstruction of Japanese 2011 earthquake.
Proceedings of the 4th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2011

1999
Source and environmental parameter estimation using electromagnetic matched field processing.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1997
Generalized likelihood ratio test for selecting a geo-acoustic environmental model.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997

Electromagnetic matched field processing for source localization.
Proceedings of the 1997 IEEE International Conference on Acoustics, 1997


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