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
fDate :
7/1/2011 12:00:00 AM
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;
Journal_Title :
Signal Processing Magazine, IEEE
DOI :
10.1109/MSP.2011.941098
