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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 7, Iss. 6 — Jun. 1, 1990
  • pp: 1015–1018

Information-content analysis of aureole inversion methods: differential kernel versus normal

Michael A. Box and Gabriel Viera  »View Author Affiliations

JOSA A, Vol. 7, Issue 6, pp. 1015-1018 (1990)

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It has recently been suggested that more satisfactory inversion results for the aerosol size distribution may be obtained if the scattered (aureole) data are first differentiated with respect to angle—the so-called differential-kernel method. Analytic eigenfunction theory provides an ideal framework for determining the relative information content of this method versus the standard approach. Our results, supported by the inversion of synthetic data sets, show the differential-kernel method to have significant advantages.

© 1990 Optical Society of America

Original Manuscript: June 26, 1989
Manuscript Accepted: January 19, 1990
Published: June 1, 1990

Michael A. Box and Gabriel Viera, "Information-content analysis of aureole inversion methods: differential kernel versus normal," J. Opt. Soc. Am. A 7, 1015-1018 (1990)

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