Automatic Seismic Signal Processing Research.

Abstract

This report describes computer programs implemented on the Seismic Data Analysis Center computer system for automatically analyzing seismograms and classifying them as being either explosion-like or earthquake-like. The principal accomplishments of this work have been (1) the development at SDAC of a library of general purpose data analysis programs, (2) the definition of an event-oriented waveform data base (3) the development of a program to measure spectral ratios, body-wave magnitude, surface wave magnitude and complexity automatically, and (4) the re-analysis of the variable frequency magnitude (VFM) data compiled during the Area of Interest (AI) experiment using linear discriminant analysis. Although successful performance of the discrimination software has been demonstrated in both an interactive and automatic mode, intensive testing and evaluation will require three further steps. The first of these is to incorporate automatic procedures for measuring time-domain m sub b and M sub s measures. The second is to expand greatly the size of the data base. The third is to process the augmented data set for all discriminants and use these as training data in a more complete linear discriminant analysis. (Author)

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1981
Accession Number
ADA113369

Entities

People

  • C. B. Archambeau
  • J. R. Murphy
  • L. B. Bache
  • W. L. Rodi
  • William E. Farrell

Organizations

  • Utility Systems Science and Software (United States)

Tags

Communities of Interest

  • C4I
  • Human Systems
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Computer Programs
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Detectors
  • Discriminant Analysis
  • Feature Extraction
  • Frequency Bands
  • Information Processing
  • Information Science
  • Knowledge Management
  • Operating Systems
  • Pattern Recognition
  • Signal Processing
  • Statistical Algorithms
  • Statistical Analysis

Readers

  • Computational Modeling and Simulation
  • Neural Network Machine Learning.
  • Seismology