A GLR (Generalized Likelihood Ratio) Algorithm for Polyline Approximation of Waveforms

Abstract

New algorithms are derived for the polyline approximation of digital waveforms, using recursive least squares and generalized likelihood ratio techniques. Numerical experiments indicate that the new algorithms may in some applications offer significant speed and accuracy advantages compared to prior polyline algorithms. Keywords: Polyline approximation; Waveform analysis; Data compression; Recursive least squares; Generalized likelihood ratio; Dynamic programming; Kalman filter.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1988
Accession Number
ADA197846

Entities

People

  • Richard A. Steinberg

Organizations

  • Johns Hopkins University

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Change Detection
  • Computer Vision
  • Detection
  • Detectors
  • Equations
  • Filters
  • Information Science
  • Kalman Filters
  • Linear Systems
  • Mathematical Filters
  • Pattern Recognition
  • Physics
  • Physics Laboratories
  • Statistics
  • Two Dimensional

Fields of Study

  • Engineering

Readers

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