The Bounded p-Point Classes in Robust Hypothesis Testing and Filtering.

Abstract

The bounded p-point classes of density functions are defined through upper and lower bounds on the power or probabilities on different sets in some partition of the frequency or sample space. The robust Wiener filter is derived for such classes, and is shown to be piecewise constant in its frequency response. Similar results are indicated for hypothesis testing and matched filtering involving such classes of densities.

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Document Details

Document Type
Technical Report
Publication Date
Oct 01, 1982
Accession Number
ADA126865

Entities

People

  • Saleem A. Kassam

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Cross Correlation
  • Electrical Engineering
  • Engineering
  • Filters
  • Filtration
  • Frequency
  • Frequency Domain
  • Frequency Response
  • Matched Filters
  • Power Spectra
  • Probability
  • Probability Density Functions
  • Probability Distributions
  • Random Variables
  • Scientific Research
  • Spectra

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Regression Analysis.

Technology Areas

  • Space
  • Space - Space Objects