Investigation of Digital Filtering Techniques for the Analysis of Experimental Data

Abstract

This paper presents techniques of processing digital data to remove unwanted frequencies and to simulate the effect of simple RC networks on the corresponding analog data. The development of these techniques provides: a means of isolating a signal from background noise, a means of removing low frequency drift from a signal, and a means of selectively reversing previous filtering. These techniques are valuable in the refinement and validation of digital simulations. The method presented in this paper used the Fast Fourier Transform. The methodology has been applied to remove noise and drift from experimental and mathematical model date relative to determining an RMS value of a tank gun pointing error.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1975
Accession Number
ADA016928

Entities

People

  • Lanny D. Wells

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Artillery
  • Combat Vehicles
  • Computers
  • Convolution Integrals
  • Digital Computers
  • Experimental Data
  • Fast Fourier Transforms
  • Filters
  • Filtration
  • Frequency
  • Frequency Bands
  • Guns
  • Mathematical Models
  • Simulations
  • Small Arms
  • Tank Guns
  • Transfer Functions

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Systems Analysis and Design