DocumentCode
3475855
Title
Extrapolation of bandlimited signals from finite samples via moments
Author
Emre, E.
Author_Institution
Dept. of Electr. Eng., Texas Tech Univ., Lubbock, TX, USA
fYear
1991
fDate
11-13 Dec 1991
Firstpage
2383
Abstract
Techniques are developed for extrapolation of bandlimited signals from a finite number of samples. This arises in such applications as radar, power spectral density functions, and spatial temporal mode estimation in arrays of sensors. The techniques are based on the use of prolate spherical functions, certain results from interpolation via the classical moments, and approximation theory. The results also yield solutions to the trigonometric moment problem. A more direct extrapolation approach is given in terms of both trigonometric and classical moments, which does not require interpolation but which requires approximation of the Fourier transforms of prolate spherical functions
Keywords
Fourier transforms; extrapolation; interpolation; signal processing; Fourier transforms; approximation theory; bandlimited signal extrapolation; finite samples; interpolation; power spectral density functions; prolate spherical functions; radar; sensor arrays; spatial temporal mode estimation; trigonometric moment problem; Approximation methods; Clutter; Density functional theory; Extrapolation; Fourier transforms; Image sensors; Interpolation; Least squares approximation; Probability density function; Radar applications; Sensor arrays;
fLanguage
English
Publisher
ieee
Conference_Titel
Decision and Control, 1991., Proceedings of the 30th IEEE Conference on
Conference_Location
Brighton
Print_ISBN
0-7803-0450-0
Type
conf
DOI
10.1109/CDC.1991.261615
Filename
261615
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