Peter Gerstoft - researchr alias

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Viewing Publication 1 - 80 from 80

2024

Non-Uniform Array and Frequency Spacing for Regularization-Free Gridless DOAYifan Wu, Michael B. Wakin, Peter Gerstoft. tsp, 72:2006-2020, 2024. [doi]

2023

DOA Uncertainty Quantification With Conformal PredictionIshan D. Khurjekar, Peter Gerstoft. mlsp 2023: 1-6 [doi]

Direction-of-Arrival Estimation Using Gaussian Process InterpolationIshan D. Khurjekar, Peter Gerstoft, Christoph F. Mecklenbräuker, Zoi-Heleni Michalopoulou. icassp 2023: 1-5 [doi]

Deep Learning-Based Modulation Classification for OFDM Systems Without Symbol-Level SynchronizationByungjun Kim, Venkatesh Sathyanarayanan, Christoph F. Mecklenbräuker, Peter Gerstoft. icassp 2023: 1-5 [doi]

Blind Modulation Classification of Wi-Fi 6 and 5G signals for Spectrum SensingByungjun Kim, Christoph F. Mecklenbräuker, Peter Gerstoft. mswim 2023: 137-145 [doi]

SD-PINN: Physics Informed Neural Networks for Spatially Dependent PDESRuixian Liu, Peter Gerstoft. icassp 2023: 1-5 [doi]

Robust Sparse Bayesian Learning for DOAChristoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila, Yongsung Park. eusipco 2023: 1788-1792 [doi]

Empiric Bayesian Inversion of Evaporation Ducts From Synthetic Phased-Array DataTed Rogers, Peter Gerstoft. icassp 2023: 1-5 [doi]

RML22: Realistic Dataset Generation for Wireless Modulation ClassificationVenkatesh Sathyanarayanan, Peter Gerstoft, Aly El Gamal. TWC, 22(11):7663-7675, November 2023. [doi]

Data Centric Approach to Modulation ClassificationVenkatesh Sathyanarayanan, Peter Gerstoft, Aly El Gamal. comsnets 2023: 340-344 [doi]

Gridless DOA Estimation With Multiple FrequenciesYifan Wu, Michael B. Wakin, Peter Gerstoft. tsp, 71:417-432, 2023. [doi]

2022

High Resolution Spectral Analysis and Signal Segregation Using the Polyphase ChannelizerRichard Bell, Fredric J. Harris, Peter Gerstoft, Dinesh Bharadia. acssc 2022: 519-526 [doi]

Semi-Supervised Source Localization With Residual Physical LearningMichael J. Bianco, Peter Gerstoft. icassp 2022: 3608-3612 [doi]

Audio Scene Monitoring Using Redundant Ad Hoc Microphone Array NetworksPeter Gerstoft, Yihan Hu, Michael J. Bianco, Chaitanya Patil, Ardel Alegre, Yoav Freund, François Grondin. iotj, 9(6):4259-4268, 2022. [doi]

Scatterer Identification by Atomic Norm Minimization in Vehicular mm-Wave Propagation ChannelsHerbert Groll, Peter Gerstoft, Markus Hofer, Jiri Blumenstein, Thomas Zemen, Christoph F. Mecklenbräuker. access, 10:102334-102354, 2022. [doi]

Data-Driven Spatially Dependent PDE IdentificationRuixian Liu, Michael J. Bianco, Peter Gerstoft, Bhaskar D. Rao. icassp 2022: 3383-3387 [doi]

DOA M-Estimation Using Sparse Bayesian LearningChristoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila. icassp 2022: 4933-4937 [doi]

Experimental Validation of Wideband SBL Models for DOA EstimationRuchi Pandey, Santosh Nannuru, Peter Gerstoft. eusipco 2022: 219-223 [doi]

Difference-Frequency MUSIC for DOAsYongsung Park, Peter Gerstoft, Jeung-Hoon Lee. spl, 29:2612-2616, 2022. [doi]

Learning-Aided Initialization for Variational Bayesian DOA EstimationYongsung Park, Florian Meyer, Peter Gerstoft. icassp 2022: 4938-4942 [doi]

Memory in Echo State Networks and the Controllability Matrix RankBrian Whiteaker, Peter Gerstoft. icassp 2022: 3948-3952 [doi]

Gridless DOA Estimation Under the Multi-Frequency ModelYifan Wu, Michael B. Wakin, Peter Gerstoft. icassp 2022: 5982-5986 [doi]

2021

Semi-Supervised Source Localization in Reverberant Environments With Deep Generative ModelingMichael J. Bianco, Sharon Gannot, Efren Fernandez-Grande, Peter Gerstoft. access, 9:84956-84970, 2021. [doi]

Qualitatively Robust Bayesian Learning for DOA from Array Data using M-Estimation of the Scatter MatrixChristoph F. Mecklenbräuker, Peter Gerstoft, Esa Ollila. wsa 2021: 1-6 [doi]

Alternating Projections Gridless Covariance-Based Estimation For DOAYongsung Park, Peter Gerstoft. icassp 2021: 4385-4389 [doi]

Novel Training Methodology to Enhance Deep Learning Based Modulation ClassificationVenkatesh Sathyanarayanan, Ankush Jolly, Peter Gerstoft. acssc 2021: 356-360 [doi]

Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear ArraysMark Wagner, Yongsung Park, Peter Gerstoft. tsp, 69:2144-2157, 2021. [doi]

Leaky Integrator Dynamical Systems and Reachable SetsBrian Whiteaker, Peter Gerstoft. icassp 2021: 4025-4029 [doi]

SSLIDE: Sound Source Localization for Indoors Based on Deep LearningYifan Wu, Roshan Sai Ayyalasomayajula, Michael J. Bianco, Dinesh Bharadia, Peter Gerstoft. icassp 2021: 4680-4684 [doi]

2020

Semi-Supervised Source Localization with Deep Generative ModelingMichael J. Bianco, Sharon Gannot, Peter Gerstoft. mlsp 2020: 1-6 [doi]

Parametric Bootstrapping of Array Data with A Generative Adversarial NetworkPeter Gerstoft, Herbert Groll, Christoph F. Mecklenbräuker. ieeesam 2020: 1-5 [doi]

Sparse Approximation of an Outdoor-to-Indoor Massive MIMO Channel MeasurementHerbert Groll, Daniel Schützenhöfer, Stefan Pratschner, Peter Gerstoft, Christoph F. Mecklenbräuker. acssc 2020: 88-91 [doi]

Robust estimation of DOA from array data at low SNRChristoph F. Mecklenbräuker, Peter Gerstoft, Erich Zöchmann, Herbert Groll. sigpro, 166, 2020. [doi]

Variational Bayesian Estimation of Time-Varying DOAsFlorian Meyer, Yongsung Park, Peter Gerstoft. fusion 2020: 1-6 [doi]

Compressive 2-d Off-grid DOA Estimation for Propeller Cavitation LocalizationYongsung Park, Peter Gerstoft. icassp 2020: 4612-4616 [doi]

Sequential Sparse Bayesian Learning For DoaYongsung Park, Florian Meyer, Peter Gerstoft. acssc 2020: 78-81 [doi]

Over The Air Performance of Deep Learning for Modulation Classification across Channel ConditionsVenkatesh Sathyanarayanan, Mark Wagner, Peter Gerstoft. acssc 2020: 157-161 [doi]

2019

Grid-less variational Bayesian line spectral estimation with multiple measurement vectorsJiang Zhu 0004, Qi Zhang, Peter Gerstoft, Mihai-Alin Badiu, Zhiwei Xu. sigpro, 161:155-164, 2019. [doi]

Robust Ocean Acoustic Localization With Sparse Bayesian LearningKay L. Gemba, Santosh Nannuru, Peter Gerstoft. jstsp, 13(1):49-60, 2019. [doi]

DOA Estimation in heteroscedastic noisePeter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbräuker, Geert Leus. sigpro, 161:63-73, 2019. [doi]

Global Robustness Characterization of DOA Estimators by Breakdown DetectionHerbert Groll, Erich Zöchmann, Peter Gerstoft, Christoph F. Mecklenbräuker. camsap 2019: 36-40 [doi]

Wave Equation Extraction from A Video Using Sparse ModelingRuixian Liu, Michael J. Bianco, Peter Gerstoft. acssc 2019: 2160-2165 [doi]

Maximum-likelihood DOA estimation at low SNR in Laplace-like noiseChristoph F. Mecklenbräuker, Peter Gerstoft. eusipco 2019: 1-5 [doi]

Sparse Bayesian learning with multiple dictionariesSantosh Nannuru, Kay L. Gemba, Peter Gerstoft, William S. Hodgkiss, Christoph F. Mecklenbräuker. sigpro, 159:159-170, 2019. [doi]

2D Beamforming on Sparse Arrays with Sparse Bayesian LearningSantosh Nannuru, Peter Gerstoft. icassp 2019: 4355-4359 [doi]

A Deep Network for Single-Snapshot Direction of Arrival EstimationEmma Ozanich, Peter Gerstoft, Haiqiang Niu. mlsp 2019: 1-6 [doi]

Gridless DOA Estimation via. Alternating ProjectionsMark Wagner, Peter Gerstoft, Yongsung Park. icassp 2019: 4215-4219 [doi]

2018

Travel Time Tomography With Adaptive DictionariesMichael Bianco, Peter Gerstoft. tci, 4(4):499-511, 2018. [doi]

Adaptive Travel Time Tomography with Local SparsityMichael Bianco, Peter Gerstoft. icassp 2018: 1613-1617 [doi]

Doa Estimation in Heteroscedastic Noise with Sparse Bayesian LearningPeter Gerstoft, Santosh Nannuru, Christoph F. Mecklenbräuker, Geert Leus. icassp 2018: 3459-3463 [doi]

Sparse Bayesian Learning for Directions of Arrival on an FPGAHerbert Groll, Christoph F. Mecklenbräuker, Peter Gerstoft. gacm 2018: 623-627 [doi]

Sparse Bayesian Learning for DOA Estimation of Correlated SourcesChristoph F. Mecklenbräuker, Peter Gerstoft, Geert Leus. ieeesam 2018: 533-537 [doi]

Sparse Bayesian Learning for DOA Estimation Using Co-Prime and Nested ArraysSantosh Nannuru, Peter Gerstoft, Ali Koochakzadeh, Piya Pal. ieeesam 2018: 519-523 [doi]

Array Shape Calibration Using Low Rank ProjectionsMark Wagner, Michael Bianco, Santosh Nannuru, Peter Gerstoft. acssc 2018: 1103-1110 [doi]

2017

2016

2015

Multiple snapshot compressive beamformingPeter Gerstoft, Angeliki Xenaki, Christoph F. Mecklenbräuker, Erich Zöchmann. acssc 2015: 1774-1778 [doi]

2013

2012

Session TA8a1: Array signal processing IIPeter Gerstoft. acssc 2012: 840-842 [doi]

Bayesian sparse sensing of the Japanese 2011 earthquakePeter Gerstoft, Christoph F. Mecklenbräuker, Huajian Yao. acssc 2012: 281-285 [doi]

Asymptotic Eigenvalue Density of Noise Covariance MatricesRavishankar Menon, Peter Gerstoft, William S. Hodgkiss. tsp, 60(7):3415-3424, 2012. [doi]

Passive acoustic monitoring using random matrix theoryRavishankar Menon, Peter Gerstoft, William S. Hodgkiss. gacm 2012: 804-807 [doi]

Predictive state vector encoding for decentralized field estimation in sensor networksFlorian Xaver, Gerald Matz, Peter Gerstoft, Christoph F. Mecklenbräuker. icassp 2012: 2661-2664 [doi]

Localization of acoustic sources utilizing a decentralized particle filterFlorian Xaver, Gerald Matz, Peter Gerstoft, Norbert Goertz. acssc 2012: 276-280 [doi]

2011

Bayesian sparse wideband source reconstruction of Japanese 2011 earthquakeChristoph F. Mecklenbräuker, Peter Gerstoft, Huajian Yao. camsap 2011: 273-276 [doi]

Localization of acoustic sources using a decentralized particle filterFlorian Xaver, Gerald Matz, Peter Gerstoft, Christoph F. Mecklenbräuker. ejwcn, 2011:94, 2011. [doi]

1999

Source and environmental parameter estimation using electromagnetic matched field processingPeter Gerstoft, Donald F. Gingras. icassp 1999: 2111-2114 [doi]

1997

Electromagnetic matched field processing for source localizationDonald F. Gingras, Peter Gerstoft, Neil L. Gerr, Christoph F. Mecklenbräuker. icassp 1997: 479-482 [doi]

Generalized likelihood ratio test for selecting a geo-acoustic environmental modelChristoph F. Mecklenbräuker, Peter Gerstoft, Pei Jung Chung, Johann F. Böhme. icassp 1997: 463-466 [doi]

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2024

2023

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2016

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1999

1997

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