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.
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Vitalij N. Kurashov, Alexandr G. Chumakov, Andry V. Kovalenko, "Regularization of inverse problem by singular value filtration", 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; https://doi.org/10.1117/12.224172
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