Robust and Quantized Wiener Filters for p-Point Spectral Classes.

Abstract

The classical solution for linear estimation of a signal in additive noise is given by the well-known Wiener filter. In certain circumstances, however, it is advantageous to have a filter which is piecewise constant and which provides good performance over an entire class of signal and noise power spectral densities. First, a procedure is presented for determining the optimal piecewise constant filter. Then, for a particular class of power spectral densities, termed the p-point spectral class, the robust filter is determined. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1980
Accession Number
ADA086409

Entities

People

  • Leonard J. Cimini
  • Saleem A. Kassam

Organizations

  • Moore School of Electrical Engineering

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Air Force
  • Degradation
  • Digital Images
  • Electrical Engineering
  • Engineering
  • Equations
  • Filters
  • Image Processing
  • Images
  • Information Processing
  • Information Theory
  • Intervals
  • Measurement
  • Power Measurement
  • Two Dimensional
  • Universities

Fields of Study

  • Engineering

Readers

  • Image Processing and Computer Vision.
  • Mathematical Modeling and Probability Theory.