Abstract
An apparatus function (AF) is selected using the mathematical principles of settings (MPS) so that the norm of its resolving or inverse function would be minimal within limits of tolerance that are less than the AF setting error. This would allow us to obtain solutions to inverse problems with the highest possible accuracy and limiting high resolution. In MPS, the result is reversible and there is no a priori smoothness of the solution with residual error, as there is in regularization.
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Original Russian Text © E.N. Terentiev, N.E. Terentiev, 2015, published in Izvestiya Rossiiskoi Akademii Nauk. Seriya Fizicheskaya, 2015, Vol. 79, No. 12, pp. 1633–1637.
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Terentiev, E.N., Terentiev, N.E. Mathematical principles for setting signal processing systems and regularization. Bull. Russ. Acad. Sci. Phys. 79, 1427–1431 (2015). https://doi.org/10.3103/S1062873815120229
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DOI: https://doi.org/10.3103/S1062873815120229