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Avtomatika i Telemekhanika, 2010, Issue 11, Pages 3–28 (Mi at1097)  
This article is cited in 20 scientific papers (total in 21 papers)

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Randomization of data acquisition and $\ell_1$-optimization (recognition with compression)

O. N. Granichin, D. V. Pavlenko

St. Petersburg State University, St. Petersburg, Russia
Full-text PDF (1002 kB) Citations (21)
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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 $\ell_1$-optimization. The recent methods of acquisition and representation of the compressed data were christened compressive sensing.
Presented by the member of Editorial Board: B. T. Polyak

Received: 16.02.2010
English version:
Automation and Remote Control, 2010, Volume 71, Issue 11, Pages 2259–2282
DOI: https://doi.org/10.1134/S0005117910110019
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: O. N. Granichin, D. V. Pavlenko, “Randomization of data acquisition and $\ell_1$-optimization (recognition with compression)”, Avtomat. i Telemekh., 2010, no. 11, 3–28; Autom. Remote Control, 71:11 (2010), 2259–2282
Citation in format AMSBIB
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    • This publication is cited in the following 21 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    		Avtomatika i Telemekhanika
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    Abstract page:874
    Full-text PDF :328
    References:46
    First page:12
     
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