Share Email Print
cover

Proceedings Paper

Regularization of inverse problem by singular value filtration
Author(s): Vitalij N. Kurashov; Alexandr G. Chumakov; Andry V. Kovalenko
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

During ill-posed inverse problem solution authors discussed consecutive technology of account known a priori information. In the present paper they realized this technology as the unique filtration procedures of singular components or CK-components. Sample correlation and distortion operator are used for singular codebook calculation. Correlation and level of noise are used for regularization. The application of this technique for more complex stochastic objects will be subject in future investigations.

Paper Details

Date Published: 9 October 1995
PDF: 9 pages
Proc. SPIE 2570, Experimental and Numerical Methods for Solving Ill-Posed Inverse Problems: Medical and Nonmedical Applications, (9 October 1995); doi: 10.1117/12.224172
Show Author Affiliations
Vitalij N. Kurashov, Kiev Univ. (Ukraine)
Alexandr G. Chumakov, Kiev Univ. (Ukraine)
Andry V. Kovalenko, Kiev Univ. (Ukraine)


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)

© SPIE. Terms of Use
Back to Top