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JOURNALS // Avtomatika i Telemekhanika // Archive

Avtomat. i Telemekh., 2010 Issue 11, Pages 3–28 (Mi at1097)

This article is cited in 22 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

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, 71:11, 2259–2282

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© Steklov Math. Inst. of RAS, 2026