1 edition of Signal processing for the 1992 barents sea tomography experiment found in the catalog.
Signal processing for the 1992 barents sea tomography experiment
Philip G. McLaughlin
by Naval Postgraduate School, Available from National Technical Information Service in Monterey, Calif, Springfield, Va
Written in English
In August 1992, an acoustic tomography experiment was conducted in the Barents Sea. The objective of this thesis is the development of space-time signal processing algorithms to extract the arrival times of rays and modes for that experiment. The temporal signal processing involves pulse compression of the phase-encoded signal. Spatial signal processing consists of plane wave and modal beamforming on data fram a 16 element vertical line array. After signal processing an arrival detection, identification, and tracking algorithm is used to obtain travel time and travel time error estimates. After development and testing of these algorithms, 13 hours of acoustic data was processed for rays and eight hours of data was processed for modes. The resultant travel time information is then available for inversion to sound speed maps.
|Statement||Philip G. McLaughlin|
|The Physical Object|
|Pagination||vi, 64 p. ;|
|Number of Pages||64|
The late Cenozoic uplift affected the entire Barents shelf unevenly (Anell et al; Henriksen et alb; Minakov et alb), and initiated strong erosion, which further complicated the structural architecture of the greater Barents Sea shelf. 3 EXPERIMENT SETUP AND DATA. The experiment was carried out in July–August Recently, Levshin et al. () published a 3D geophysical model (BARMOD) for the crust and upper mantle based on surface wave tomography in the greater Barents Sea region ().A striking observation was the strong positive S-wave velocity anomaly within the upper mantle below the Barents Sea, Novaya Zemlya, and the Kara Sea ().The anomaly is up to 4% higher than the .
This book presents the fundamentals of Digital Signal Processing using examples from common science and engineering problems. While the author believes that the concepts and data contained in this book are accurate and correct, they should not be used in any application without proper verification by the person making the application. Three-dimensional imaging algorithm for tomography SAR based on multiple signal classification Abstract: The height imaging quality of tomography synthetic aperture radar obtained by the classic Fourier transform method is limited by the resolution and sidelobe problems.
Tomography signal processing requires the precise measurement of acoustic travel time, which is the integral Barents Sea Experiment, is a summary of the Barents Sea Polar Front Experiment (BSPFEX). The BSPFEX was conducted during August of The experiment comprised a joint effort between the Naval Postgraduate School (NPS), Woods. North Western Pacific (08/ – 12/), Member of data processing team, r/v "Vityaz" North Atlantic Ocean (12/ – 03/), Member of CTD team, r/v "Vityaz" Referred Publications.
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Signal processing for the barents sea tomography experiment Item Preview remove-circle Share or Embed This Item. Calhoun: The NPS Institutional Archive Theses and Dissertations Thesis Collection Signal processing for the barents sea tomography experiment. Approved for public release; distribution is unlimitedIn Augustan acoustic tomography experiment was conducted in the Barents Sea.
The objective of this thesis is the development of space-time signal processing algorithms to extract the arrival times of rays and modes for that : Philip G. McLaughlin.
In the Barents Sea Polar Front Experiment, bandpass acoustic tomography signals centered at Hz were received with very high SNR on a 16‐element vertical hydrophone array at a range of 35 km from the source. The depth of the ocean varied from m at the source to m at the vertical array.
A critical part of travel time tomography is the measurement of the arrival time of Author: James H. Miller, Ching‐Sang Chiu, James F.
Lynch, Philip McLaughlin, Christopher W. Miller, Keith Vo. Abstract. A coupled normal-mode approach for the prediction of pulse propagation in a complex coastal environment was used to model the modal arrival structure in the Barents Sea Coastal Acoustic Tomography by: 6. In August a coastal ocean tomography experiment was conducted in the Barents Sea over the steep northwestern slope of the Bear Island Trough, about km east of Bear Island.
The objective of the experiment was to map and study the oscillations of the Barents Sea Polar Front using acoustic tomography coupled with traditional hydrographic techniques. Munk, W., and Wunsch, C. Ocean acoustic tomography: a scheme for large scale monotoring.
Deep-Sea Res., 26A, pp. – CrossRef Google Scholar. Summary This chapter discusses the types of tomography such as algebraic reconstruction tomography (ART), x‐ray tomography, traveltime tomography and network tomography. Network tomography estimate. Digital Signal Processing is a mathematically rigorous but accessible treatment of digital signal processing that intertwines basic theoretical techniques with hands-on laboratory instruction.
Divided into three parts, the book covers various aspects of the digital signal processing (DSP) "problem". It begins with the analysis of discrete-time signals and explains sampling and the use of the. Experiment (6) Introduction to Signal Processing. UIntroduction. Signals are waveforms containing information.
Although physical signals can be in the form of mechanical, electromagnetic, or other forms, they are usually converted to the electrical form for measurement.
Computer-based measurement systems are used in a wide variety of applications. [Gon77], [Pra78]. The more general case of multidimensional signal processing has been described in [Dud84]. One-Dimensional Signal Processing Continuous and Discrete One-Dimensional Functions One-dimensional continuous functions, such as in Fig.
(a), will be represented in this book. signal processing domain is very suitable for this second type of remote experiments.
Papers [8,14,15,16,17] show the evolution of this approach as applied to spectrum analyzer topics. Figure 1. Example of a remote experiment using a signal generator and a data acquisition card. input signal (signal processing) to produce a new random object, the output signal.
Fundamental issues include the nature of the basic probabilistic de-scription, and the derivation of the probabilistic description of the output signal given that of the input signal and the particular operation performed. Guoliang Jin's 8 research works with citations and 87 reads, including: A theoretical and simulation study of acoustic normal mode coupling effects due to the Barents Sea Polar Front, with.
Jiang has taught digital signal processing, control systems and communication systems for many years. She has published a number of refereed technical articles in journals, conference papers and book chapters in the area of digital signal processing, and co-authored 4 textbooks.
Jiang is a senior member of the IEEE. In Aprila 3‐day acoustic transmission experiment was carried out on the shelf of the northeastern South China Sea. A ‐Hz signal was transmitted every 5 min from a moored source to a.
Statistical Signal Processing Solutions and Advances for Data Science: Complex, Dynamic and Large-scale Settings Edited by Esa Ollila, Michael Muma, Frederic Pascal 10 April In Augustan acoustic tomography experiment was conducted in the Barents Sea.
The objective of this thesis is the development of space-time signal processing algorithms to extract the arrival times of rays and modes for that experiment. The temporal signal processing involves pulse compression of the phase-encoded signal.
Spatial signal. How to order your own hardcover copy Wouldn't you rather have a bound book instead of loose pages. Your laser printer will thank you. Order from Gelius, Leiv-J. A sample of controlled experiments in diffraction tomography. Geophysical Prospecting.
ISSN 43, s 50 Gelius, Leiv-J. Fluid leakage from a buried steel drum - a controlled field experiment in environmental tomography, In Process tomography.
"[The] physical insight and presentation in this volume made it a pleasure to read I would heartily recommend this book to any researcher or graduate student working in shallow water acoustics.
It presents an overview of a very active field from a fresh viewpoint, and with a fine feel for the basic physics of the medium. It is a book that is well worth the rather high price.Range-dependent passive source localization using data from the Barents Sea tomography experiment Item Preview remove-circle Matched-Field Processing (MFP) and Matched-Mode Processing (MMP) are two popular techniques for passively localizing an underwater acoustic emitter in range and depth.
using MMP. The main factors contributing to.The Barents Sea Polar Front Experiment A vertical line array (VLA), played a vital role in the Barents Sea Polar Front Experiment conducted in the coastal waters of Svalbard in August In this experiment, a combination of CTD hydrography, moored oceanographic sensors, broadband acoustic bottom measurements.