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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Vydané v:	IEEE transactions on signal processing Ročník 66; číslo 7; s. 1676 - 1690
Hlavní autori:	Giryes, Raja, Eldar, Yonina C., Bronstein, Alex M., Sapiro, Guillermo
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	IEEE 01.04.2018
Predmet:	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
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