Search Results - "Knobles, David P"

Refine Results
  1. 1

    Transdimensional Inversion on the New England Mud Patch Using High-Order Modes by Bonnel, Julien, Dosso, Stan E., Knobles, David P., Wilson, Preston S.

    Published in IEEE journal of oceanic engineering (01-07-2022)
    “…This article presents geoacoustic inversion results for modal-dispersion data collected during the 2017 Seabed Characterization Experiment on the New England…”
    Get full text
    Journal Article
  2. 2

    Evidence of three-dimensional acoustic propagation in the Catoche Tongue by Sagers, Jason D, Ballard, Megan S, Knobles, David P

    “…This paper presents observations of two classes of acoustic arrivals recorded on a sparsely populated vertical line array (VLA) moored in the center of the…”
    Get full text
    Journal Article
  3. 3

    Acoustic ducting by shelf water streamers at the New England shelfbreak by Johnson, Jennifer J, Lin, Ying-Tsong, Newhall, Arthur E, Gawarkiewicz, Glen G, Knobles, David P, Chaytor, Jason D, Hodgkiss, William S

    Published in JASA express letters (01-08-2023)
    “…Greater sound speed variability has been observed at the New England shelfbreak due to a greater influence from the Gulf Stream with increased meander…”
    Get full text
    Journal Article
  4. 4

    Guest Editorial An Overview of the Seabed Characterization Experiment by Wilson, Preston S., Knobles, David P., Neilsen, Tracianne B.

    Published in IEEE journal of oceanic engineering (01-01-2020)
    “…A broad overview of the field work conducted during the SBCEX has been provided. SBCEX included a comprehensive subbottom chirp profile of the experimental…”
    Get full text
    Journal Article
  5. 5

    Seabed and range estimation of impulsive time series using a convolutional neural network by Van Komen, David F., Neilsen, Tracianne B., Howarth, Kira, Knobles, David P., Dahl, Peter H.

    “…In ocean acoustics, many types of optimizations have been employed to locate acoustic sources and estimate the properties of the seabed. How these tasks can…”
    Get full text
    Journal Article
  6. 6

    The Airy phase of explosive sounds in shallow water by Wan, Lin, Badiey, Mohsen, Knobles, David P., Wilson, Preston S.

    “…The Airy phase is identified in the received signals from explosive charges deployed in a shallow water acoustic experiment conducted in the New England…”
    Get full text
    Journal Article
  7. 7

    Geoacoustic inversion using low frequency broadband acoustic measurements from L-shaped arrays in the Shallow Water 2006 Experiment by Wan, Lin, Badiey, Mohsen, Knobles, David P.

    “…When using geoacoustic inversion methods, one objective function may not result in a unique solution of the inversion problem because of the ambiguity among…”
    Get full text
    Journal Article
  8. 8

    Ship-of-Opportunity Noise Inversions for Geoacoustic Profiles of a Layered Mud-Sand Seabed by Tollefsen, Dag, Dosso, Stan E., Knobles, David P.

    Published in IEEE journal of oceanic engineering (01-01-2020)
    “…This paper considers the use of broadband noise from a ship-of-opportunity in statistical inference for estimating geoacoustic parameters of a layered mud-sand…”
    Get full text
    Journal Article
  9. 9

    Guest Editorial: Continued Exploration of Fine-Grained Sediments from SBCEX2017 by Wilson, Preston S., Knobles, David P., Neilsen, Tracianne B.

    Published in IEEE journal of oceanic engineering (01-07-2022)
    “…The papers in this special section focus on the exploration of fine-grained sediments that were collected from the Seabed Characterization Experiment in 2017…”
    Get full text
    Journal Article
  10. 10

    Seabed type and source parameters predictions using ship spectrograms in convolutional neural networks by Van Komen, David F, Neilsen, Tracianne B, Mortenson, Daniel B, Acree, Mason C, Knobles, David P, Badiey, Mohsen, Hodgkiss, William S

    “…Broadband spectrograms from surface ships are employed in convolutional neural networks (CNNs) to predict the seabed type, ship speed, and closest point of…”
    Get full text
    Journal Article
  11. 11

    Broadband Waveform Geoacoustic Inversions With Absolute Travel Time by Lin, Ying-Tsong, Bonnel, Julien, Knobles, David P., Wilson, Preston S.

    Published in IEEE journal of oceanic engineering (01-01-2020)
    “…Numerical and experimental studies were conducted to investigate the advantage of utilizing absolute travel time information in Bayesian geoacoustic inversions…”
    Get full text
    Journal Article
  12. 12

    Maximum Entropy Derived Statistics of Sound-Speed Structure in a Fine-Grained Sediment Inferred From Sparse Broadband Acoustic Measurements on the New England Continental Shelf by Knobles, David P., Wilson, Preston S., Goff, John A., Wan, Lin, Buckingham, Michael J., Chaytor, Jason D., Badiey, Mohsen

    Published in IEEE journal of oceanic engineering (01-01-2020)
    “…Marginal probability distributions for parameters representing an effective sound-speed structure of a fine-grained sediment are inferred from a data ensemble…”
    Get full text
    Journal Article
  13. 13

    Estimates of Low-Frequency Sound Speed and Attenuation in a Surface Mud Layer Using Low-Order Modes by Wan, Lin, Badiey, Mohsen, Knobles, David P., Wilson, Preston S., Goff, John A.

    Published in IEEE journal of oceanic engineering (01-01-2020)
    “…Whereas there have been numerous theoretical and experimental studies on the properties of marine granular sands, there are significantly fewer studies on…”
    Get full text
    Journal Article
  14. 14

    Seabed classification from merchant ship-radiated noise using a physics-based ensemble of deep learning algorithms by Escobar-Amado, Christian D., Neilsen, Tracianne B., Castro-Correa, Jhon A., Van Komen, David F., Badiey, Mohsen, Knobles, David P., Hodgkiss, William S.

    “…Merchant ship-radiated noise, recorded on a single receiver in the 360–1100 Hz frequency band over 20 min, is employed for seabed classification using an…”
    Get full text
    Journal Article
  15. 15

    Estimation of Frequency-Wavenumber Diagrams Using a Physics-Based Grid-Free Compressed Sensing Method by Paviet-Salomon, Thomas, Bonnel, Julien, Dorffer, Clement, Nicolas, Barbara, Chonavel, Thierry, Tollefsen, Dag, Knobles, David P., Wilson, Preston S., Dremeau, Angelique

    Published in IEEE journal of oceanic engineering (01-07-2022)
    “…Shallow water propagation can be described using modal theory. For low frequency sources, propagated signals are composed of a few dispersive modes, each of…”
    Get full text
    Journal Article
  16. 16

    Short-Range Signatures of Explosive Sounds in Shallow Water Used for Seabed Characterization by Wilson, Preston S., Knobles, David P., Dahl, Peter H., McNeese, Andrew R., Zeh, Matthew C.

    Published in IEEE journal of oceanic engineering (01-01-2020)
    “…Small explosions were used as sound sources in the Seabed Characterization Experiment conducted in spring 2017 in the New England Mud Patch, a shallow-water…”
    Get full text
    Journal Article
  17. 17

    Transdimensional Geoacoustic Inversion Using Prior Information on Range-Dependent Seabed Layering by Bonnel, Julien, Dosso, Stan E., Goff, John A., Lin, Ying-Tsong, Miller, James H., Potty, Gopu R., Wilson, Preston S., Knobles, David P.

    Published in IEEE journal of oceanic engineering (01-07-2022)
    “…This article proposes a transdimensional (trans-D) geoacoustic inversion method adapted to range-dependent (RD) propagation tracks based on prior information…”
    Get full text
    Journal Article
  18. 18

    Statistical inference of seabed sound-speed structure in the Gulf of Oman Basin by Sagers, Jason D, Knobles, David P

    “…Addressed is the statistical inference of the sound-speed depth profile of a thick soft seabed from broadband sound propagation data recorded in the Gulf of…”
    Get full text
    Journal Article
  19. 19

    Validating deep learning seabed classification via acoustic similarity by Forman, David J., Neilsen, Tracianne B., Van Komen, David F., Knobles, David P.

    Published in JASA express letters (01-04-2021)
    “…While seabed characterization methods have often focused on estimating individual sediment parameters, deep learning suggests a class-based approach focusing…”
    Get full text
    Journal Article
  20. 20

    An impulsive source with variable output and stable bandwidth for underwater acoustic experiments by McNeese, Andrew R, Wilson, Preston S, Sagers, Jason D, Knobles, David P

    “…The Combustive Sound Source (CSS) is being developed as an environmentally friendly source to be used in ocean acoustics research and surveys. It has the…”
    Get full text
    Journal Article