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ARMA PROCESSING OF ULTRASONIC DATA FOR ABSORPTION MEASUREMENTS
Author(s) -
GUTOWSKI P.R.,
FRISILLO A. L.
Publication year - 1981
Publication title -
geophysical prospecting
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.735
H-Index - 79
eISSN - 1365-2478
pISSN - 0016-8025
DOI - 10.1111/j.1365-2478.1981.tb00403.x
Subject(s) - autoregressive model , absorption (acoustics) , signal (programming language) , autoregressive–moving average model , acoustics , polynomial , signal processing , ultrasonic sensor , filter (signal processing) , sample (material) , digital filter , mathematics , algorithm , optics , materials science , digital signal processing , mineralogy , mathematical analysis , analytical chemistry (journal) , computer science , geology , physics , statistics , chemistry , thermodynamics , computer hardware , computer vision , programming language , chromatography
A bstract Laboratory studies of absorption‐frequency behavior in rocks often use spectral ratios of digitally recorded ultrasonic signals which have been transmitted through a rock sample and a reference sample of very low absorption, respectively. It is proposed to treat the digitally recorded signals as an autoregressive‐moving average (ARMA) process which, using recursive filter concepts, can be represented as a ratio of two polynomials in the z‐transform variable z. The numerator polynomial contains only that part of the signal that is modified by anelastic effects, whereas the denominator contains the elastic effects of the physical apparatus such as reverberations. Examples are given which show that this separation of the recorded signal greatly facilitates the laboratory investigation of loss mechanisms and absorption‐frequency behavior based on spectral ratios.