NEHRP Clearinghouse
- Title
- An Application of Syntactic Pattern Recognition to Seismic Discrimination.
- File
- ADA107383.pdf
- Author(s)
- Liu, H. H.; Fu, K. S.
- Source
- August 1981, 26 p.
- Identifying Number(s)
- TR-EE81-25
- Abstract
- 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. (Author)
- Keywords
- ; Syntax; Waveforms; Seismic waves; Underground explosions; Nuclear explosions; Clustering; Samplers; Parsers; Pattern recognition; Discrimination; Distribution functions; Earthquakes; Error analysis; Decision making; Grammars; Performance (Engineering)