scholarly journals Comparison of spatial processing techniques for sonar array data

1988 ◽  
Vol 84 (S1) ◽  
pp. S16-S16
Author(s):  
David V. Wyllie ◽  
Brian G. Ferguson ◽  
Garry C. Speechley
Keyword(s):  
Spatial Processing ◽  
Array Data ◽  
Processing Techniques

Processing Techniques for Discrimination Between Buried UXO and Clutter Using Multisensor Array Data

1999 ◽  
Author(s):  
J. Miller ◽  
B. Barrow ◽  
T. Bell ◽  
D. Keiswetter ◽  
I. J. Won
Keyword(s):  
Array Data ◽  
Processing Techniques

Analysis of the operational capabilities for detection and location of seismic events at NORSAR

1974 ◽  
Vol 64 (3-1) ◽  
pp. 637-656 ◽  
Author(s):  
H. Bungum ◽  
E. S. Husebye
Keyword(s):  
Data Processing ◽  
Central Asia ◽  
Seismic Events ◽  
Array Data ◽  
Operational Capabilities ◽  
Processing Techniques ◽  
Teleseismic Events ◽  
Frequency Magnitude

abstract Based on 1 year of data, April 1972-March 1973, the routine event detectability of the NORSAR array in Norway has been investigated in terms of 50 and 90 per cent cumulative detectability thresholds which were derived from frequency-magnitude distributions. The best performance was observed for events in central Asia and adjacent regions where the 90 per cent cumulative detectability values are in the range 3.6-3.8 NORSAR mb values. For teleseismic events, the value is 3.8. For all regions, NOAA reports on the average a larger mb value than NORSAR, and this relationship is magnitude-dependent. The accuracy of NORSAR-estimated epicenter solutions as compared to those of NOAA was also investigated. The best results were found for Japan and central Asia, where the median location difference is 95 and 105 km, respectively. For teleseismic events, the value is 145 km. The biased errors in the location estimates are demonstrated to have been eliminated for most of the regions considered. Finally, improvements of the present NORSAR event detectability performance are discussed in view of recently developed array data processing techniques.

On: “Maximum‐Entropy Spatial Processing of Array Data,” by R. N. McDonough (GEOPHYSICS, December 1974, p. 843–851)

Geophysics ◽  
1976 ◽  
Vol 41 (1) ◽  
pp. 151-151
Author(s):  
James W. Adams
Keyword(s):  
Time Series ◽  
Maximum Entropy ◽  
Spatial Processing ◽  
Array Data ◽  
Fundamental Error

McDonough has made a fundamental error when he concludes on page 849, “Thus the spectrum (62) can be computed from sufficiently many equally spaced samples of [Formula: see text], sampled in r, by using the above procedure … applicable to time series.”

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