DocumentCode :
1950091
Title :
A fast algorithm to compute band-limited interpolation from unevenly spaced sampled data using K-nearest neighbor search
Author :
Lidicky, Ludvík ; Hoogeboom, Peter
Author_Institution :
IRCTR, Delft Univ. of Technol., Netherlands
fYear :
2006
fDate :
24-27 April 2006
Abstract :
This paper presents an algorithm that performs one or two-dimensional interpolation under certain conditions. It is optimized for speed by means of taking advantage of some special cases, which occur in SAR signal processing. In SAR processing, one needs to interpolate data from non-uniformly sampled grid into a uniformly sampled one. Coordinates of non-uniform points are related to coordinates of uniform points via a known transformation. Further, it is assumed that the non-uniform sampling points are located on lines in parallel to one of the coordinates on a two-dimensional plane.
Keywords :
Fourier transforms; bandlimited signals; interpolation; radar signal processing; signal sampling; synthetic aperture radar; K-nearest neighbor search; SAR signal processing; band-limited interpolation computing; spaced sample data; synthetic aperture radar; transformation; Fast Fourier transforms; Fourier transforms; Image reconstruction; Interpolation; Magnetic resonance imaging; Paper technology; Signal processing algorithms; Signal sampling; Space technology; Sparse matrices;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar, 2006 IEEE Conference on
Print_ISBN :
0-7803-9496-8
Type :
conf
DOI :
10.1109/RADAR.2006.1631808
Filename :
1631808
Link To Document :
بازگشت