Algorithms for Optimal Numerical Quadrature Based on Signal Class Models

Abstract

A framework is presented for constructing various types of numerical quadrature algorithms that take into account the a-priori known or estimated properties of the signal being processed. This is done by appropriately modeling the signal class to which such a signal belongs. Both linear and nonlinear signal class models are considered and wide use of generalized spline theory is made. For the nonlinear case, a new type of nonlinear generalized spline is defined.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1979
Accession Number
ADA486478

Entities

People

  • Rui J. De Figueiredo

Organizations

  • Rice University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Mathematics
  • Numerical Quadrature

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)