DocumentCode
1627052
Title
A method to decrease nonlinear image reconstruction distortions caused by measurement errors
Author
Bajiova, A.T.
Author_Institution
Inst. of Appl. Astron., Acad. of Sci., St. Petersburg
fYear
1995
Firstpage
311
Lastpage
313
Abstract
The problem of nonlinear distortions of images reconstructed from incomplete and noisy spectrum data using nonlinear optimization methods such as the maximum entropy method is considered. To decrease the level of nonlinear distortions it is proposed to seek a solution in the space of complex functions using the generalized maximum entropy method instead of classical one
Keywords
error statistics; image reconstruction; measurement; measurement errors; optimisation; spectral analysis; complex functions; generalized maximum entropy method; incomplete data; maximum entropy method; measurement errors; noisy spectrum data; nonlinear distortions reduction; nonlinear image reconstruction distortions; nonlinear optimization methods; Entropy; Frequency domain analysis; Image reconstruction; Measurement errors; Noise level; Nonlinear distortion; Optimization methods; Radio astronomy; Signal to noise ratio; US Department of Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Signals, Systems, and Electronics, 1995. ISSSE '95, Proceedings., 1995 URSI International Symposium on
Conference_Location
San Francisco
Print_ISBN
0-7803-2516-8
Type
conf
DOI
10.1109/ISSSE.1995.497996
Filename
497996
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