Spherically Invariant Processes: Their Nonlinear Structure, Discrimination, and Estimation.

Abstract

The structure of the nonlinear space of a spherically invariant process is studied and the problem of discriminating between two spherically invariant processes as well as the problem of nonlinear estimation in spherically invariant processes are solved. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1977
Accession Number
ADA041458

Entities

People

  • Stamatis Cambanis
  • Steel T. Huang

Organizations

  • University of North Carolina at Chapel Hill

Tags

DTIC Thesaurus Topics

  • Covariance
  • Data Science
  • Discrimination
  • Distribution Functions
  • Gaussian Distributions
  • Gaussian Processes
  • Information Science
  • Markov Processes
  • North Carolina
  • Polynomials
  • Probability
  • Probability Distributions
  • Random Variables
  • Sequences
  • Stationary Processes
  • Statistics
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Mathematical Modeling and Probability Theory.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • Space