DocumentCode
1557173
Title
Low-Pass Filtering of Irregularly Sampled Signals Using a Set Theoretic Framework [Lecture Notes]
Author
Kose, Kivanc ; Cetin, A. Enis
Author_Institution
Bilkent Univ., Ankara, Turkey
Volume
28
Issue
4
fYear
2011
fDate
7/1/2011 12:00:00 AM
Firstpage
117
Lastpage
121
Abstract
In this article, the goal is to show that it is possible to filter nonuniformly sampled signals according to specs defined in the Fourier domain. In many practical applications, it is necessary to filter irregularly sampled data including seismic signal processing, synthetic aperture radar (SAR) imaging systems, three-dimensional (3-D) meshes, and digital terrain models [1], [2].
Keywords
Fourier transforms; iterative methods; low-pass filters; signal sampling; 3D mesh; Fourier domain; digital terrain models; irregular sampled signals; iterative filtering process; low-pass filtering; seismic signal processing; set theoretic framework; synthetic aperture radar imaging systems; three-dimensional meshes; Filtering theory; Frequency domain analysis; Interpolation; Low pass filters; Time domain analysis;
fLanguage
English
Journal_Title
Signal Processing Magazine, IEEE
Publisher
ieee
ISSN
1053-5888
Type
jour
DOI
10.1109/MSP.2011.941098
Filename
5888647
Link To Document