Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems

Solving inverse problems with iterative algorithms is popular, especially for large data. Due to time constraints, the number of possible iterations is usually limited, potentially affecting the achievable accuracy. Given an error one is willing to tolerate, an important question is whether it is po...

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Bibliographic Details

Published in:	IEEE transactions on signal processing Vol. 66; no. 7; pp. 1676 - 1690
Main Authors:	Giryes, Raja, Eldar, Yonina C., Bronstein, Alex M., Sapiro, Guillermo
Format:	Journal Article
Language:	English
Published:	IEEE 01.04.2018
Subjects:	Acceleration approximate computing approximation methods Compressed sensing Convergence convergence of numerical methods gradient methods Iterative algorithms iterative methods neural networks Noise measurement optimization Signal processing algorithms Training
ISSN:	1053-587X, 1941-0476
Online Access:	Get full text
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