<?xml version="1.0" encoding="utf-8" standalone="yes"?>
<item>
  <id>05261277</id>
  <dt>j</dt>
  <an>05261277</an>
  <augroup>
    <au>Georgieva, Irina</au>
    <au>Uluchev, Rumen</au>
  </augroup>
  <ti>Smoothing of Radon projections type of data by bivariate polynomials.</ti>
  <so>J. Comput. Appl. Math. 215, No. 1, 167-181 (2008).</so>
  <py>2008</py>
  <pu>Elsevier Science B.V. (North-Holland), Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>Reconstruction of bivariate polynomials</ut>
    <ut>Radon transform</ut>
    <ut>Chebyshev polynomials</ut>
    <ut>multivariate polynomials</ut>
    <ut>interpolation</ut>
    <ut>least squares approximation</ut>
    <ut>image processing</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.cam.2007.04.002</li>
  </ligroup>
  <abgroup>
    <ab>The authors study the problem of existence and uniqueness of reconstructing a bivariate polynomial $$P(x,y)= \sum_{i+j\leq n}\alpha_{i,j}x^{i}y^{j}$$ by the Radon projections along a set of chords of the unit disk. Chebyshev polynomials of the second kind and an interpolatory scheme for a mixed type of data play an important role in this problem. The article includes some numerical examples of reconstruction to illustrate the obtained results.</ab>
    <rv>Ivan Secrieru (Chi\c sin\u au)</rv>
  </abgroup>
</item>