Research Topics: Compressed Sensing over Complex Networks for Learning from Big Data over Networks

Alexander Jung (Guest editor), Holger Rauhut (Guest editor), Sergiy Vorobyov (Guest editor)

Research output: Contribution to journal › Special issue › Scientific › peer-review

Original language	English
Journal	Frontiers in Applied Mathematics and Statistics
Volume	3
Publication status	Published - 2017
MoE publication type	C2 Edited book, conference proceedings or special issue of a journal

Cite this

@article{3e38b9fd023a4f02b98e398cdb92f753,

title = "Research Topics: Compressed Sensing over Complex Networks for Learning from Big Data over Networks",

author = "Alexander Jung and Holger Rauhut and Sergiy Vorobyov",

year = "2017",

language = "English",

volume = "3",

journal = "Frontiers in Applied Mathematics and Statistics",

issn = "2297-4687",

publisher = "Frontiers Research Foundation",

}

TY - JOUR

T1 - Research Topics: Compressed Sensing over Complex Networks for Learning from Big Data over Networks

A2 - Jung, Alexander

A2 - Rauhut, Holger

A2 - Vorobyov, Sergiy

PY - 2017

Y1 - 2017

UR - https://www.frontiersin.org/research-topics/6303/compressed-sensing-over-complex-networks-for-learning-from-big-data-over-networks

M3 - Special issue

SN - 2297-4687

VL - 3

JO - Frontiers in Applied Mathematics and Statistics

JF - Frontiers in Applied Mathematics and Statistics

ER -