STOCHASTIC REPRESENTATION OF NEARLY-GAUSSIAN, NONLINEAR PROCESSES,

Abstract

The use of polynomial functionals of the white noise process is discussed, for the treatment of nonlinear random processes. It is noted that such treatments are useful for nearly-Gaussian processes. Applications of such representations to nonlinear systems and to nonlinear fluid mechanics problems (turbulence) are reviewed. (Author)

Document Details

Document Type
Technical Report
Publication Date
May 01, 1969
Accession Number
AD0688543

Entities

People

  • W. C. Meecham

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • California
  • Cooperation
  • Fluid Dynamics
  • Fluid Mechanics
  • Fluid Statics
  • Gaussian Processes
  • Mechanics
  • Noise
  • Nonlinear Systems
  • Physics
  • Polynomials
  • Statics
  • Turbulence
  • White Noise

Readers

  • Calculus or Mathematical Analysis
  • Electrical Engineering