Greed is super: A new iterative method for super-resolution
Greed is super: A new iterative method for super-resolution
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贪婪是超：一种新的超分辨率迭代方法
DOI：
10.1109/globalsip.2013.6736968
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发表时间：
2013
期刊：
影响因子：
--
通讯作者：
M. Wakin
中科院分区：
文献类型：
--
作者：
Armin Eftekhari;M. Wakin
我们提出了一种用于超级分辨率的贪婪算法prale的球波及其独特的特性。 Fannjiang等人提出的贪婪算法的差异。
We present a new greedy algorithm for super-resolution. Given the low-frequency part of the spectrum of a sequence of impulses, our objective is to estimate their positions. The backbone of our work is the fundamental work of Slepian et al. involving discrete prolate spheroidal wave functions and their unique properties. By its greedy nature, our work differs from the approach of Candès et al. based on convex optimization. By its use of prolate functions, our work also differs from the greedy algorithm presented by Fannjiang et al.