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Proceedings Paper

Projection algorithm of processing experimental data
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Paper Abstract

The projection algorithm for solving systems of linear algebraic equations together with method of statistical regularization were used for solving ill-posed inverse problems of processing experimental data. That problems were smoothing of differentiation of experimental data, apparatus distortion, decomposition of complex signal on elementary components and Radon tranforms (problems of computer tomography). Our method gives it possible to use maximum known a prior information, what is important for solving ill-posed problems.

Paper Details

Date Published: 9 October 1995
PDF: 7 pages
Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); doi: 10.1117/12.224176
Show Author Affiliations
Natalia Shcherbakova, Moscow Technical Univ. (Russia)


Published in SPIE Proceedings Vol. 2570:
Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications
Randall Locke Barbour; Mark J. Carvlin; Michael A. Fiddy, Editor(s)

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