Identification of a Class of Filtered Poisson Processes.

Abstract

The formulation of a model is an essential step in the experimental process of understanding a phenomenon. In this paper a new class of filtered Poission processes is introduced: the amplitude has a law which is spherically invariant and the filter is real, linear and casual. It is shown how such a model can be identified from experimental data. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1981
Accession Number
ADA135371

Entities

People

  • A. Gualtierotti
  • D. De Brucq

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Coefficients
  • Data Science
  • Equations
  • Experimental Data
  • Frequency Response
  • Gaussian Processes
  • Hilbert Space
  • Identification
  • Information Science
  • North Carolina
  • Numbers
  • Probability
  • Random Variables
  • Statistical Algorithms
  • Statistical Estimation
  • Statistics
  • Stochastic Processes

Readers

  • Brain and Cognitive Science; Experimental Psychology; Cognitive Neuroscience
  • Plasma Physics / Magnetohydrodynamics
  • Statistical inference.