Adaptive Algorithms for Two Dimensional Filtering

Abstract

In this thesis, an adaptive two dimensional least mean squares (LMS) algorithm and a recursive least squares (RLS) algorithm are developed from the one dimensional algorithms. Design of the two dimensional LMS and RLS algorithms are studied for accuracy based on the results of a two dimensional system identification model which was used in testing the algorithms. Application of the two algorithms is demonstrated through computer simulation in which the adaptive filters are employed in a noise canceler and an adaptive line enhancer and applied to an image processing problem. Keywords: Wiener filters, One dimensional.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1988
Accession Number
ADA201807

Entities

People

  • Steven L. Wilstrup

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Adaptive Filters
  • Artificial Intelligence
  • Computational Science
  • Computer Programs
  • Computer Science
  • Computer Simulations
  • Computers
  • Delay Lines
  • Digital Signal Processing
  • Electrical Engineering
  • Engineering
  • Filtration
  • Image Processing
  • Image Restoration
  • Signal Processing
  • Simulations
  • Two Dimensional

Fields of Study

  • Engineering

Readers

  • Computer Vision.
  • Phased Array Antenna Design.