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.
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Natalia Shcherbakova, Natalia Shcherbakova, } "Projection algorithm of processing experimental data", 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; https://doi.org/10.1117/12.224176
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