An adaptive spline method for signal restoration

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The author considers the classical problem of estimating a signal f, given noisy samples of a linear transformation of f. A nonlinear regression method is proposed for estimating f in the class of polynomial B-splines defined over nonuniform grids. This type of approximation offers great flexibility, as the number of knots, knot locations, and knot coefficients are free parameters. Estimates are obtained using a simple iterative algorithm derived by application of a multistage hypothesis-testing procedure.

Original languageEnglish (US)
Title of host publicationICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages169-172
Number of pages4
Volume4
ISBN (Electronic)0780305329
DOIs
StatePublished - 1992
Externally publishedYes
Event1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992 - San Francisco, United States
Duration: Mar 23 1992Mar 26 1992

Other

Other1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
CountryUnited States
CitySan Francisco
Period3/23/923/26/92

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Electrical and Electronic Engineering

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