Identification d'une Classe de Processus de Poisson Filtres (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 Poisson processes is introduced: the amplitude has a law which is spherically invariant and the filter is real, linear and causal. 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
May 20, 1983
Accession Number
ADA134970

Entities

People

  • D. De Brucq

Organizations

  • University of North Carolina at Chapel Hill

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Computing-Related Activities
  • Covariance
  • Data Modeling
  • Data Science
  • Ergodic Processes
  • Experimental Data
  • Gaussian Processes
  • Identification
  • Information Science
  • Information Theory
  • Interdisciplinary Science
  • North Carolina
  • Probability
  • Security
  • Signal Processing
  • Statistics
  • Stochastic Processes

Fields of Study

  • Mathematics

Readers

  • Small Business Innovation Research Program (SBIR) EDI Research and Innovation.
  • Statistical inference.
  • Systems Analysis and Design