NONLINEAR PREDICTION AND DIGITAL SIMULATION

Abstract

An approach to digital nonlinear prediction is proposed and analyzed. The basic relations are developed. The nonlinear operator is obtained by quantization of the data. The model is developed in terms of occupancy of data cells in N-space. Extensions to increase occupancy and reduce error are formulated. Illustrative results are included. A comparison with linear techniques is made and over-all conclusions on error, quantization level, length of data required, time invariance, etc., are provided.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1969
Accession Number
AD0693549

Entities

People

  • J. A. Ormsby

Organizations

  • MITRE Corporation

Tags

DTIC Thesaurus Topics

  • Air Force
  • Cell Structure
  • Cells
  • Classification
  • Contracts
  • Corporations
  • Data Sets
  • Government Procurement
  • Governments
  • Intervals
  • Invariance
  • Massachusetts
  • Probability
  • Security
  • Simulations
  • Standards
  • United States

Fields of Study

  • Engineering

Readers

  • Calculus or Mathematical Analysis
  • Operations Research
  • Radio communications and signal processing.

Technology Areas

  • Space