Nonlinear Systems with Gaussian Inputs: Representation, Identification and Inverse Problems.

Abstract

The following questions are discussed for nonlinear systems with input Gaussian processes. How can the system be represented? How can the system be identified from the input and output processes? Does knowledge of the way the system responds to a certain Gaussian input determine the way it will respond to another Gaussian input or to a deterministic input? Does knowledge of the system and the statistics of the output determine the statistics of the input? (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1979
Accession Number
ADA078597

Entities

People

  • Stamatis Cambanis

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Covariance
  • Differential Equations
  • Ergodic Processes
  • Gaussian Processes
  • Identification
  • Information Theory
  • Integrals
  • Intervals
  • Inverse Problems
  • Linear Systems
  • Noise
  • Nonlinear Systems
  • North Carolina
  • Probability
  • Sequences
  • Statistics

Readers

  • Speech Processing/Speech Recognition.
  • Statistical inference.
  • Theoretical Analysis.