Morph-Fitting. An Effective Technique of Approximation.

Abstract

An algorithm has been developed and programmed which fits a minimum number of basic patterns, morphs, to a sequence of datapoints. The dependent variable is given as a scalar value; the independent variable is 'distance-like' or 'time-like' and can represent continuous or discrete values or an event-counter. The morphs fitted are an indefinite number of occurrences of trends (straight lines), step functions, and sudden changes (peaks of short duration). Delay functions span over periods characterized by uninterpretable events. A useful by-product of the investigation is a set of optimum decision rules concerning the boundary points between sequential regression functions. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1981
Accession Number
ADA110253

Entities

People

  • Ernesto Morgado
  • Nicholas V. Findler

Organizations

  • University at Buffalo

Tags

Communities of Interest

  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Boundaries
  • Classification
  • Computations
  • Computer Science
  • Computers
  • Information Science
  • New York
  • Pattern Recognition
  • Regression Analysis
  • Security
  • Segmented
  • Sequences
  • Step Functions
  • Teamwork
  • Universities

Readers

  • Calculus or Mathematical Analysis
  • Graph Algorithms and Convex Optimization.
  • Mathematics or Statistics