DocumentCode :
3362967
Title :
Uncertainty principles, signal recovery, finite Toeplitz forms, and approximation theory: connections and applications to limited angle tomography
Author :
Olson, Tim
Author_Institution :
Dept. of Math., Dartmouth Coll., Hanover, NH, USA
fYear :
1994
fDate :
25-28 Oct 1994
Firstpage :
190
Lastpage :
193
Abstract :
A common imaging problem is the recovery of an unknown portion of a signal which cannot be gathered because of physical constraints on the system. We discuss a number of approaches to this type of problem, and the interconnections between these different approaches. We will then apply these ideas to the limited angle tomography problem
Keywords :
Toeplitz matrices; approximation theory; image reconstruction; indeterminancy; tomography; approximation theory; finite Toeplitz forms; imaging problem; limited angle tomography; physical constraints; signal recovery; uncertainty principles; Approximation methods; Constraint theory; Discrete Fourier transforms; Educational institutions; Fourier transforms; Iterative algorithms; Mathematics; Tomography; Uncertainty; Zinc;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Time-Frequency and Time-Scale Analysis, 1994., Proceedings of the IEEE-SP International Symposium on
Conference_Location :
Philadelphia, PA
Print_ISBN :
0-7803-2127-8
Type :
conf
DOI :
10.1109/TFSA.1994.467261
Filename :
467261
Link To Document :
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