ON THE EVALUATION OF NOISE SAMPLES

Abstract

Unless the primary source of noise in one of those which are theoretically tractable, the statistical properties of the noise have to be inferred from samples. We have developed some criteria to aid in the decision whether a sample can reasonably be assumed to have come from a Gaussian noise with predetermined parameters.

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Document Details

Document Type
Technical Report
Publication Date
Sep 07, 1951
Accession Number
AD0603984

Entities

People

  • Arnold J. Siegert

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Corporations
  • Gaussian Distributions
  • Gaussian Noise
  • Integrals
  • Intervals
  • Noise
  • Probability
  • Probability Distributions
  • Random Variables
  • Standards
  • Time Intervals

Readers

  • Acoustics.
  • Computational Modeling and Simulation
  • Regression Analysis.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference