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Algorithms for Optimal Numerical Quadrature Based on Signal Class Models

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Title: Algorithms for Optimal Numerical Quadrature Based on Signal Class Models
Author: de Figueiredo, Rui J.P.
Type: Tech Report
Keywords: Numerical quadrature; numerical integration; moments; convolution; Fourier transforms; filters; spline functions; variational methods
Citation: R. J. de Figueiredo, "Algorithms for Optimal Numerical Quadrature Based on Signal Class Models," Rice University ECE Technical Report, no. 7915, 1979.
Abstract: A framework is presented for constructing various types of numerical quadrature algorithms which 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 spine theory is made. For the nonlinear case, a new type of nonlinear generalized spline is defined.
Date Published: 1979-11-01

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  • ECE Publications [1030 items]
    Publications by Rice University Electrical and Computer Engineering faculty and graduate students
  • DSP Publications [508 items]
    Publications by Rice Faculty and graduate students in digital signal processing.