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Irregularity detection from noisy data in one and two dimensions

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Abstract

In this work we consider the problem of detecting the irregularities of univariate functions from noisy data and its extension to bivariate functions which present lines of points of irregularity.

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Authors and Affiliations

  1. Dipartimento di Matematica, Università di Milano, via Saldini 50, I-20133, Milano, Italy

    Milvia Rossini

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  1. Milvia Rossini
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Rossini, M. Irregularity detection from noisy data in one and two dimensions. Numerical Algorithms 16, 283–301 (1997). https://doi.org/10.1023/A:1019151500381

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  • DOI: https://doi.org/10.1023/A:1019151500381

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