Sensing and measurement dictionaries design for block OMP algorithm

Bo Li; Yi Shen; Jia Li; Zhenghua Wu

doi:10.1049/el.2014.2000

Sensing and measurement dictionaries design for block OMP algorithm

Bo Li^*
, Yi Shen
, Jia Li
, Zhenghua Wu

^*Corresponding author for this work

School of Astronautics, Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The block orthogonal matching pursuit (BOMP) algorithm aims to recover block sparse signals whose non-zero components have a block structure. Sensing and measurement dictionaries are alternatively optimised to have small inter- and sub-block mutual coherences. The computational complexity of the proposed algorithm is low. With the designed dictionaries, the performance of the BOMP algorithm improves.

Original language	English
Pages (from-to)	1351-1353
Number of pages	3
Journal	Electronics Letters
Volume	50
Issue number	19
DOIs	https://doi.org/10.1049/el.2014.2000
State	Published - 11 Sep 2014
Externally published	Yes

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10.1049/el.2014.2000

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title = "Sensing and measurement dictionaries design for block OMP algorithm",

abstract = "The block orthogonal matching pursuit (BOMP) algorithm aims to recover block sparse signals whose non-zero components have a block structure. Sensing and measurement dictionaries are alternatively optimised to have small inter- and sub-block mutual coherences. The computational complexity of the proposed algorithm is low. With the designed dictionaries, the performance of the BOMP algorithm improves.",

author = "Bo Li and Yi Shen and Jia Li and Zhenghua Wu",

note = "Publisher Copyright: {\textcopyright} The Institution of Engineering and Technology 2014.",

year = "2014",

month = sep,

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doi = "10.1049/el.2014.2000",

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AU - Shen, Yi

AU - Li, Jia

AU - Wu, Zhenghua

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Y1 - 2014/9/11

N2 - The block orthogonal matching pursuit (BOMP) algorithm aims to recover block sparse signals whose non-zero components have a block structure. Sensing and measurement dictionaries are alternatively optimised to have small inter- and sub-block mutual coherences. The computational complexity of the proposed algorithm is low. With the designed dictionaries, the performance of the BOMP algorithm improves.

AB - The block orthogonal matching pursuit (BOMP) algorithm aims to recover block sparse signals whose non-zero components have a block structure. Sensing and measurement dictionaries are alternatively optimised to have small inter- and sub-block mutual coherences. The computational complexity of the proposed algorithm is low. With the designed dictionaries, the performance of the BOMP algorithm improves.

UR - https://www.scopus.com/pages/publications/84907145101

U2 - 10.1049/el.2014.2000

DO - 10.1049/el.2014.2000

M3 - 文章

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SN - 0013-5194

VL - 50

SP - 1351

EP - 1353

JO - Electronics Letters

JF - Electronics Letters

IS - 19

ER -

Sensing and measurement dictionaries design for block OMP algorithm

Abstract

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