• Real time method for remote me...

Treffer: Real time method for remote measurement of compressional wave attenuation

Title:
Real time method for remote measurement of compressional wave attenuation
Contributors:
DeBruin, Darryl L., Florida Atlantic University (Degree grantor), Schock, Steven G. (Thesis advisor)
Publisher Information:
Florida Atlantic University
Collection:
FAU Digital Collections (Florida Atlantic University Digital Library)
Subject Terms:
Marine sediments--Acoustic properties, Signal processing--Computer simulation
Document Type:
Fachzeitschrift text
File Description:
95 p.; application/pdf; Electronic Thesis or Dissertation
Language:
English
Relation:
http://purl.flvc.org/fcla/dt/14824; 14824; FADT14824; fau:11612; https://fau.digital.flvc.org/islandora/object/fau%3A11612/datastream/TN/view/Real%20time%20method%20for%20remote%20measurement%20of%20compressional%20wave%20attenuation.jpg
Availability:
http://purl.flvc.org/fcla/dt/14824
https://fau.digital.flvc.org/islandora/object/fau%3A11612/datastream/TN/view/Real%20time%20method%20for%20remote%20measurement%20of%20compressional%20wave%20attenuation.jpg
Rights:
Copyright © is held by the author, with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder. ; http://rightsstatements.org/vocab/InC/1.0/
Accession Number:
edsbas.5DED28BD
Database:
BASE

Weitere Informationen

An acoustic measurement system is developed to estimate the compressional wave attenuation of marine sediments in real time. A chirp sonar transmits filtered digital reflection data to a signal processing computer that processes the data on an AT&T DSP32C chip. The signal processing computer estimates and displays the center frequency of the processed pulse as it is attenuated by the ocean sediments. Wavelet modelling establishes the relationship between the center frequency shift and relaxation time, from which the sediment type and compressional wave attenuation are determined. Frequency contours from two different data sites demonstrate that the system is able to reliably estimate sediment type and compressional wave attenuation. Error introduced by noise is below 1% for noise levels less than 0.1 of the normalized processed signal. Random error in the estimates is minimized by determining reliable frequency values and by ensemble averaging the values. ; College of Engineering and Computer Science ; FAU Electronic Theses and Dissertations Collection ; Thesis (M.S.)--Florida Atlantic University, 1992.