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Convergence for the regularized inversion of Fourier series

Academic Article
Publication Date:
1997
abstract:
The problems of smoothing data through a transform in the Fourier domain and of retrieving a function from its Fourier coefficients are analyzed in the present paper. For both of them a solution, based on regularization tools, is known. Aim of the paper is to prove strong results of convergence of the regularized solution and optimality of the Generalized Cross Validation criterion for choosing the regularization parameter.
Iris type:
01.01 Articolo in rivista
Keywords:
Convergence of numerical methods; Inverse problems; Numerical analysis; Fourier series; Generalized cross validation; Smoothing data; Fourier transforms
List of contributors:
Amato, Umberto; DE FEIS, Italia
Authors of the University:
AMATO UMBERTO
DE FEIS ITALIA
Handle:
https://iris.cnr.it/handle/20.500.14243/19554
Published in:
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
Journal
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http://www.scopus.com/inward/record.url?eid=2-s2.0-0031334724&partnerID=40&md5=4c7c0a529de55eedb4139a083b6c0b4c
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