Skip to main content
OSTI.GOVU.S. Department of Energy Office of Scientific and Technical Information
U.S. Department of Energy
Office of Scientific and Technical Information
 

An application of syntactic pattern recognition to seismic discrimination

Technical Report ·
OSTI ID:5591126
;
Two syntactic methods for the recognition of seismic waveforms are presented in this paper. The seismic waveforms are represented by sentences (strings of primitives). Primitive extraction is based on a cluster analysis. Finite-state grammars are inferred from the training samples. The nearest-neighbor decision rule and error-correcting finite-state parsers are used for pattern classification. While both show equal recognition performance, the nearest-neighbor rule is much faster in computation speed. The classification of real earthquake/explosion data is presented as an application example.
Research Organization:
Purdue Univ., Lafayette, IN (USA). School of Electrical Engineering
OSTI ID:
5591126
Report Number(s):
AD-A-107383/2
Country of Publication:
United States
Language:
English

Similar Records

An application of syntactic pattern recognition to seismic discrimination
Journal Article · Thu Mar 31 23:00:00 EST 1983 · IEEE Trans. Geosci. Remote Sens.; (United States) · OSTI ID:5475221
Syntactic approach and vlsi architectures for seismic signal classification
Technical Report · Fri Dec 31 23:00:00 EST 1982 · OSTI ID:6755488
Syntactic pattern recognition: an introduction
Book · Sat Dec 31 23:00:00 EST 1977 · OSTI ID:5850937

Related Subjects

45 MILITARY TECHNOLOGY, WEAPONRY, AND NATIONAL DEFENSE
450300* -- Military Technology
Weaponry
& National Defense-- Nuclear Explosion Detection
DECISION MAKING
DETECTION
DISTRIBUTION FUNCTIONS
EARTHQUAKES
EQUIPMENT
ERRORS
EXPLOSIONS
FUNCTIONS
LABORATORY EQUIPMENT
NUCLEAR EXPLOSION DETECTION
NUCLEAR EXPLOSIONS
PATTERN RECOGNITION
PERFORMANCE
SAMPLERS
SEISMIC DETECTION
SEISMIC EVENTS
SEISMIC WAVES
UNDERGROUND EXPLOSIONS