Demystifying the Coherence Index in Compressive Sensing [Lecture Notes]

IEEE Signal Processing Magazine ◽

10.1109/msp.2019.2945080 ◽

2020 ◽

Vol 37 (1) ◽

pp. 152-162 ◽

Author(s):

Ljubisa Stankovic ◽

Danilo P. Mandic ◽

Milos Dakovic ◽

Ilya Kisil

Keyword(s):

Compressive Sensing ◽

Lecture Notes ◽

Coherence Index

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Improved Coherence Index-Based Bound in Compressive Sensing

IEEE Signal Processing Letters ◽

10.1109/lsp.2021.3084559 ◽

2021 ◽

pp. 1-1

Author(s):

Ljubisa Stankovic ◽

Milos Brajovic ◽

Danilo Mandic ◽

Isidora Stankovic ◽

Milos Dakovic

Keyword(s):

Compressive Sensing ◽

Coherence Index

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Compressive Sensing [Lecture Notes]

IEEE Signal Processing Magazine ◽

10.1109/msp.2007.4286571 ◽

2007 ◽

Vol 24 (4) ◽

pp. 118-121 ◽

Cited By ~ 2780

Author(s):

Richard Baraniuk

Keyword(s):

Compressive Sensing ◽

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Demystifying Compressive Sensing [Lecture Notes]

IEEE Signal Processing Magazine ◽

10.1109/msp.2017.2693649 ◽

2017 ◽

Vol 34 (4) ◽

pp. 171-176 ◽

Author(s):

Heinrich Edgar Arnold Laue

Keyword(s):

Compressive Sensing ◽

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Compressive Sensing for Wireless Networks

10.1017/cbo9781139088497 ◽

2009 ◽

Author(s):

Zhu Han ◽

Husheng Li ◽

Wotao Yin

Keyword(s):

Wireless Networks ◽

Compressive Sensing

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MOSBRUGGER, V., The Tree Habit in Land Plants. (Lecture Notes in Earth Sciences; 28). 161 S., 30 Abb., 10 Tab. Springer Verlag, Berlin, Heidelberg, New York, London, Paris, Tokyo, Hong Kong, 1990. ISBN 3-540-52374-X; 0-387-52374-X. Preis brosch. DM 40,–

Feddes Repertorium ◽

10.1002/fedr.4921030724 ◽

1992 ◽

Vol 103 (7-8) ◽

pp. 620-620

Author(s):

G. Natho

Keyword(s):

Earth Sciences ◽

New York ◽

Hong Kong ◽

Land Plants ◽

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Implementation of Compressive Sensing Algorithm for Wireless Sensor Network Energy Conservation

10.3390/ecsa-1-d004 ◽

2014 ◽

Author(s):

Wen-Yaw Chung ◽

Jocelyn Villaverde

Keyword(s):

Wireless Sensor Network ◽

Energy Conservation ◽

Compressive Sensing ◽

Sensor Network ◽

Wireless Sensor

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High Precision Deep Sea Geomagnetic Data Sampling and Recovery with Three-Dimensional Compressive Sensing

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e100.a.1760 ◽

2017 ◽

Vol E100.A (9) ◽

pp. 1760-1762 ◽

Author(s):

Chao ZHANG ◽

Yufei ZHAO

Keyword(s):

Compressive Sensing ◽

High Precision ◽

Deep Sea ◽

Three Dimensional ◽

Data Sampling ◽

Geomagnetic Data

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High Order Limited Random Sequence in Analog-to-Information Converter for Distributed Compressive Sensing

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e95.a.1998 ◽

2012 ◽

Vol E95.A (11) ◽

pp. 1998-2006 ◽

Author(s):

Chao ZHANG ◽

Zhipeng WU

Keyword(s):

Compressive Sensing ◽

Random Sequence ◽

Distributed Compressive Sensing

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Spectral Domain Noise Modeling in Compressive Sensing-Based Tonal Signal Detection

IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences ◽

10.1587/transfun.e98.a.1122 ◽

2015 ◽

Vol E98.A (5) ◽

pp. 1122-1125

Author(s):

Chenlin HU ◽

Jin Young KIM ◽

Seung Ho CHOI ◽

Chang Joo KIM

Keyword(s):

Signal Detection ◽

Compressive Sensing ◽

Spectral Domain ◽

Tonal Signal ◽

Noise Modeling ◽

Tonal Signal Detection

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A Realization of Adaptive Compressive Sensing System

2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO) ◽

10.23919/mipro48935.2020.9245389 ◽

2020 ◽

Author(s):

K. Sever ◽

T. Vlasic ◽

D. Sersic

Keyword(s):

Compressive Sensing ◽

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