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Computer Science

D-Index
51
Citations
9789
World Ranking
5370
National Ranking
2457

Overview

Peter Gerstoft is affiliated with the University of California, San Diego in the United States. Their research spans multiple disciplines, primarily within Computer Science, Earth and Planetary Sciences, and Engineering. Within these fields, Gerstoft's work focuses on subfields such as Signal Processing, Oceanography, Geophysics, Artificial Intelligence, and Electrical and Electronic Engineering.

Their scientific contributions involve numerous topics, including:

  • Underwater Acoustics Research
  • Speech and Audio Processing
  • Direction-of-Arrival Estimation Techniques
  • Seismic Waves and Analysis
  • Blind Source Separation Techniques
  • Underwater Vehicles and Communication Systems
  • Indoor and Outdoor Localization Technologies

Gerstoft's recent publications demonstrate a focus on acoustic signal processing and direction-of-arrival (DOA) estimation methods. Selected examples include:

  • Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays, 2021, published in IEEE Transactions on Signal Processing
  • A feedforward neural network for direction-of-arrival estimation, 2020, published in The Journal of the Acoustical Society of America
  • Gaussian processes for sound field reconstruction, 2021, published in The Journal of the Acoustical Society of America
  • Deep transfer learning for underwater direction of arrival using one vector sensor, 2021, published in The Journal of the Acoustical Society of America
  • Three-dimensional source localization using sparse Bayesian learning on a spherical microphone array, 2020, published in The Journal of the Acoustical Society of America

Their collaborations include frequent co-authors such as Yongsung Park, Michael J. Bianco, William F. Jenkins, Efrén Fernández-Grande, and Zoi-Heleni Michalopoulou. Gerstoft has maintained a substantial publication record in venues focused on acoustics and signal processing, including:

  • The Journal of the Acoustical Society of America
  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • JASA Express Letters
  • IEEE Transactions on Signal Processing

Best Publications

  • Extracting time-domain Green's function estimates from ambient seismic noise

    Karim G. Sabra;Peter Gerstoft;Philippe Roux;W. A. Kuperman

  • Machine learning in acoustics: Theory and applications

    Michael J. Bianco;Peter Gerstoft;James Traer;Emma Ozanich

  • Machine Learning in Seismology: Turning Data into Insights

    Qingkai Kong;Daniel T. Trugman;Zachary E. Ross;Michael J. Bianco

  • Inversion of seismoacoustic data using genetic algorithms and a posteriori probability distributions

    Peter Gerstoft

  • Compressive beamforming.

    Unknown

  • Multisnapshot Sparse Bayesian Learning for DOA

    Peter Gerstoft;Christoph F. Mecklenbrauker;Angeliki Xenaki;Santosh Nannuru

  • Ocean acoustic inversion with estimation of a posteriori probability distributions

    Peter Gerstoft;Christoph F. Mecklenbräuker

  • Inversion for refractivity parameters from radar sea clutter

    Peter Gerstoft;L. Ted Rogers;Jeffrey L. Krolik;William S. Hodgkiss

  • Source localization in an ocean waveguide using supervised machine learning.

    Haiqiang Niu;Emma Reeves;Peter Gerstoft

  • Compressive sensing of the Tohoku-Oki Mw 9.0 earthquake: Frequency-dependent rupture modes

    Huajian Yao;Peter Gerstoft;Peter M. Shearer;Christoph Mecklenbräuker

  • A sparse equivalent source method for near-field acoustic holography

    Efren Fernandez-Grande;Angeliki Xenaki;Peter Gerstoft

  • Ship localization in Santa Barbara Channel using machine learning classifiers.

    Haiqiang Niu;Emma Ozanich;Peter Gerstoft

  • Grid-free compressive beamforming

    Angeliki Xenaki;Peter Gerstoft

  • The seismic traffic footprint: Tracking trains, aircraft, and cars seismically

    Nima Riahi;Peter Gerstoft

  • Gridless DOA Estimation and Root-MUSIC for Non-Uniform Linear Arrays

    Mark Wagner;Yongsung Park;Peter Gerstoft

  • Inversion of acoustic data using a combination of genetic algorithms and the Gauss–Newton approach

    Peter Gerstoft

  • Refractivity estimation from sea clutter: An invited review

    Ali Karimian;Caglar Yardim;Peter Gerstoft;William S. Hodgkiss

  • Tracking Refractivity from Clutter Using Kalman and Particle Filters

    C. Yardim;P. Gerstoft;W.S. Hodgkiss

  • Pelagic and coastal sources of P‐wave microseisms: Generation under tropical cyclones

    Jian Zhang;Peter Gerstoft;Peter D. Bromirski

  • Multiple and single snapshot compressive beamforming

    Peter Gerstoft;Angeliki Xenaki;Christoph F. Mecklenbräuker

  • Multi-frequency sparse Bayesian learning for robust matched field processing.

    Kay L. Gemba;Santosh Nannuru;Peter Gerstoft;William S. Hodgkiss

  • Estimation of radio refractivity from Radar clutter using Bayesian Monte Carlo analysis

    C. Yardim;P. Gerstoft;W.S. Hodgkiss

  • Deep-learning source localization using multi-frequency magnitude-only data

    Haiqiang Niu;Zaixiao Gong;Emma Ozanich;Peter Gerstoft

  • A feedforward neural network for direction-of-arrival estimation

    Emma Ozanich;Peter Gerstoft;Haiqiang Niu

  • Multi Snapshot Sparse Bayesian Learning for DOA Estimation

    Peter Gerstoft;Christoph F. Mecklenbräuker;Angeliki Xenaki

Frequent Co-Authors

William S. Hodgkiss
William S. Hodgkiss University of California, San Diego
Peter D. Bromirski
Peter D. Bromirski University of California, San Diego
Ralph A. Stephen
Ralph A. Stephen Woods Hole Oceanographic Institution
Richard C. Aster
Richard C. Aster Colorado State University
William A. Kuperman
William A. Kuperman University of California, San Diego
Peter M. Shearer
Peter M. Shearer University of California, San Diego
Andrew A. Nyblade
Andrew A. Nyblade Pennsylvania State University
Douglas A. Wiens
Douglas A. Wiens Washington University in St. Louis
Heechun Song
Heechun Song Scripps Institution of Oceanography

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