AN APPROACH TO SYSTEMS WITH A GAUSSIAN PARAMETRIC COEFFICIENT.

Abstract

The object of the research reported in this dissertation was to study systems with a Gaussian parametric coefficient using a nonharmonic series to represent the random coefficient. The series used to represent the random variable is constructed of uncorrelated terms. A series also with uncorrelated terms, is found to represent the system output variable. A method is developed to evaluate the terms of this output series as a function of the power density spectrum of the parametric coefficient and other system parameters. Having found the terms of this series the moments and other statistical measures of the output variable can be calculated. Thus the dissertation details an algorithm which can be used to calculate the output statistical measures for a class of systems containing Gaussian parametric coefficient. The mean and auto-correlation function of the output and the cross-correlation between the input and output are calculated for two examples to demonstrate the algorithm. No attempt was made to find theoretical error bounds on calculations based on the algorithm. However, examples included in the dissertation indicate that the error is small. (Author)

Document Details

Document Type
Technical Report
Publication Date
Aug 01, 1967
Accession Number
AD0663758

Entities

People

  • Carroll N. Day

Organizations

  • Air Force Institute of Technology

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Coefficients
  • Correlation Techniques
  • Cross Correlation
  • Data Science
  • Information Science
  • Mathematics
  • Random Variables
  • Spectra
  • Statistical Algorithms
  • Theses

Fields of Study

  • Engineering

Readers

  • Computer Science.
  • Control Systems Engineering.
  • Linear Algebra