Standard

Randomization of data acquisition and l(1)-optimization (recognition with compression). / Granichin, O. N.; Pavlenko, D. V.

In: Automation and Remote Control, Vol. 71, No. 11, 11.2010, p. 2259-2282.

Research output: Contribution to journal › Review article › peer-review

Harvard

Granichin, ON & Pavlenko, DV 2010, 'Randomization of data acquisition and l(1)-optimization (recognition with compression)', Automation and Remote Control, vol. 71, no. 11, pp. 2259-2282. https://doi.org/10.1134/S0005117910110019

APA

Granichin, O. N., & Pavlenko, D. V. (2010). Randomization of data acquisition and l(1)-optimization (recognition with compression). Automation and Remote Control, 71(11), 2259-2282. https://doi.org/10.1134/S0005117910110019

Vancouver

Granichin ON, Pavlenko DV. Randomization of data acquisition and l(1)-optimization (recognition with compression). Automation and Remote Control. 2010 Nov;71(11):2259-2282. https://doi.org/10.1134/S0005117910110019

Author

Granichin, O. N. ; Pavlenko, D. V. / Randomization of data acquisition and l(1)-optimization (recognition with compression). In: Automation and Remote Control. 2010 ; Vol. 71, No. 11. pp. 2259-2282.

BibTeX

@article{0803fb3d21124c5897670168bd1cac33,
title = "Randomization of data acquisition and l(1)-optimization (recognition with compression)",
abstract = "A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and a{"}{"}(1)-optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing.",
keywords = "SIGNAL RECOVERY, RECONSTRUCTION, SHRINKAGE, DECOMPOSITION, REGRESSION, ALGORITHM, SPARSITY, PURSUIT, SETS",
author = "Granichin, {O. N.} and Pavlenko, {D. V.}",
year = "2010",
month = nov,
doi = "10.1134/S0005117910110019",
language = "Английский",
volume = "71",
pages = "2259--2282",
journal = "Automation and Remote Control",
issn = "0005-1179",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "11",

}

RIS

TY - JOUR

T1 - Randomization of data acquisition and l(1)-optimization (recognition with compression)

AU - Granichin, O. N.

AU - Pavlenko, D. V.

PY - 2010/11

Y1 - 2010/11

N2 - A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and a""(1)-optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing.

AB - A new paradigm for processing signals with sparse representation in some basis is actively developed for some time past. It relies largely on the ideas of measurement randomization and a""(1)-optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing.

KW - SIGNAL RECOVERY

KW - RECONSTRUCTION

KW - SHRINKAGE

KW - DECOMPOSITION

KW - REGRESSION

KW - ALGORITHM

KW - SPARSITY

KW - PURSUIT

KW - SETS

U2 - 10.1134/S0005117910110019

DO - 10.1134/S0005117910110019

M3 - Обзорная статья

VL - 71

SP - 2259

EP - 2282

JO - Automation and Remote Control

JF - Automation and Remote Control

SN - 0005-1179

IS - 11

ER -

ID: 74011927