DocumentCode :
1394668
Title :
Analysis of order statistic filters applied to ultrasonic flaw detection using split-spectrum processing
Author :
Saniie, Jafar ; Nagle, Daniel T. ; Donohue, Kevin D.
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Inst. of Technol., Chicago, IL, USA
Volume :
38
Issue :
2
fYear :
1991
fDate :
3/1/1991 12:00:00 AM
Firstpage :
133
Lastpage :
140
Abstract :
Split-spectrum processing of broadband ultrasonic signals coupled with order statistic filtering has proven to be effective in improving the flaw-to-clutter ratio of backscattered signals. It is shown that an optimal rank can be obtained with a prior knowledge of flaw-to-clutter ratio and the underlying distributions. The order statistic filter performs well where the flaw and clutter echoes have good statistical separation in a given quantile region representing a particular rank (e.g. minimum, median, maximum). Order statistic filters are analyzed for the situation in which the observations do not contain equivalent statistical information. Experimental and simulated results are presented to show how effectively the order statistic filter can utilize information contained in different frequency bands to improve flaw detection.<>
Keywords :
acoustic filters; acoustic signal processing; filtering and prediction theory; flaw detection; spectral analysis; statistical analysis; ultrasonic materials testing; NDT; backscattered signals; broadband ultrasonic signals; flaw-to-clutter ratio; optimal rank; order statistic filtering; split-spectrum processing; ultrasonic flaw detection; Band pass filters; Filtering; Frequency diversity; Radar detection; Radar scattering; Rayleigh scattering; Signal processing; Statistical analysis; Statistical distributions; Ultrasonic imaging;
fLanguage :
English
Journal_Title :
Ultrasonics, Ferroelectrics, and Frequency Control, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-3010
Type :
jour
DOI :
10.1109/58.68470
Filename :
68470
Link To Document :
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