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- W2083762854 abstract "This paper presents an algorithm for the restoration of the characteristics of a function from a finite number of observed points. The algorithm uses the eigenvectors of the Gramian of the observed vectors and is based on the assumption that the function to be constructed can be represented by a specified form. Convergence of the algorithm is proved for the noiseless case. When noise is present, a bound for the error is obtained. For functions not representable in the assumed form, the algorithm can be used to test the non-representability of the function. A numerical example is given to illustrate the theoretical investigation." @default.
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- W2083762854 date "1971-10-01" @default.
- W2083762854 modified "2023-09-26" @default.
- W2083762854 title "An algorithm for function restoration using eigenvectors†" @default.
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- W2083762854 doi "https://doi.org/10.1080/00207177108932078" @default.
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