On a Circular Correlation Technique for Filtering Randomly Noisy Data,

Abstract

This paper introduces a technique of smoothing high frequency random fluctuations from noisy data. An optimum lowpass filter is developed by using the circular serial correlation statistic to minimize the random noise content in serial data. The procedure is applicable for statistically mild data. All the basic aspects of the new filter technique are discussed and are applied to both simulated noisy data and actual measured data of unknown noise reduction, but it also appears to provide a means to reconstruct undersampled data.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1987
Accession Number
ADA184317

Entities

People

  • C. D. Taylor
  • E. Harper
  • R. Mccloskey
  • S. Giles

Organizations

  • American Society for Engineering Education

Tags

Communities of Interest

  • Air Platforms
  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Autocorrelation
  • Coefficients
  • Correlation Techniques
  • Data Science
  • Data Sets
  • Equations
  • Figure Of Merit
  • Filters
  • Filtration
  • Fourier Series
  • Frequency
  • Information Processing
  • Information Science
  • Real Numbers
  • Stationary
  • Statistical Tests

Fields of Study

  • Engineering

Readers

  • Approximation Theory.
  • Statistical inference.