Total Variation Minimization in Compressed Sensing
作者： Felix Krahmer , Christian Kruschel , Michael Sandbichler
DOI: 10.1007/978-3-319-69802-1_11
关键词: Generalization 、 Algorithm 、 Gaussian 、 Total variation minimization 、 Compressed sensing 、 Computer science
摘要: This chapter gives an overview over recovery guarantees for total variation minimization in compressed sensing different measurement scenarios. In addition to summarizing the results area, we illustrate why approach that is common synthesis sparse signals fails and techniques are necessary. Lastly, discuss a generalization of recent Gaussian measurements subgaussian case.
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