ANALOG COMPUTATION OF TIME-VARYING POWER SPECTRA OF SEISMIC WAVES

Abstract

An analog computing technique for measuring time varying power spectra of seismic signals was developed. The signal to be analyzed is re corded on a magnetic-tape loop so that it may be played back repeatedly, and the analog com puting equipment, connected to the output of the tape-playback apparatus, measures as a func tion of time the power level at a different specific frequency for each passage of the tape. The concept of a time-varying spectrum is de veloped and the theory of the analysis method used is derived. It is shown that in measuring time-varying power spectra, there is a theoret ical relationship between the time resolution and frequency resolution such that any adjustment which gives an improvement in one results in a degradation of the other. This conflict is not caused by equipment limitations, but instead is a result of theoretical relations between the time and frequency domains. A plot of the energy- or power-density spectrum of a seismic wave is not smooth, but instead shows a number of sharply defined peaks. It was found experi mentally that a filter bandwidth of 2 1/2% for the analyzing apparatus gave satisfactory fre quency resolution without seriously degrading time resolution when magnetic- tape seismograms were analyzed.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1963
Accession Number
AD0403084

Entities

People

  • Raymond E. Crabtree
  • Vernon L. Larrowe

Organizations

  • University of Michigan

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Amplitude Modulation
  • Analog Computers
  • Bandwidth
  • Carrier Frequencies
  • Computers
  • Distribution Functions
  • Filters
  • Frequency Bands
  • Frequency Response
  • Magnetic Tape
  • Measurement
  • Modulation
  • Recording Systems
  • Tape Recorders
  • Tape Recording
  • Time Intervals
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Snow Cover Descriptors for Reptiles and Their Illustrations.