Application of the method of statistical regularization to a nonlinear problem of thermal sounding in the case of limited a priori information

Details Application of the method of statistical regularization to a nonlinear problem of thermal sounding in the case of limited a priori information Application of the method of statistical regularization to a nonlinear problem of thermal sounding in the case of limited a priori information

May 1987

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1987kosis..25..439g&link_type=abstract

Kosmicheskie Issledovaniia (ISSN 0023-4206), vol. 25, May-June 1987, p. 439-447. In Russian.

Computer Science

Sound

Atmospheric Sounding, Atmospheric Temperature, Data Processing, Nonlinear Equations, Statistical Analysis, Venus Atmosphere, Atmospheric Models, Correlation, Fourier Analysis, Newton Methods, Satellite-Borne Instruments, Spectrometers, Temperature Distribution

Scientific paper

Attention is given to the statistical regularization method which is used to interpret data from the Fourier spectrometer on the Venera 15 and 16 probes. The method is applied to the solution of the inverse thermal-sounding problem in the absence of a priori information about the statistical characteristics of the solution. Use is made of model a priori correlation functions, determined from the kernel of the linearized inverse problem. The nonlinear integral equation of the problem is solved by the Kantorovich-Newton method.

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