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Algorithms for Computing Sparse Solutions

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU92289" target="_blank" >RIV/00216305:26220/11:PU92289 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Algorithms for Computing Sparse Solutions

  • Original language description

    The article deals with algorithms for computing the so-called sparse solutions of linear equations. This is a relatively novel approach to signal representation and it is very attractive, because it brings a wide spectrum of new applications (compressedsensing, fast MRI, radar etc.). However, in typical cases, the number of equations counts hundreds of thousands, and therefore, we need specialized algorithms for computing the sparse solutions. In this paper, such algorithms are divided into classes andtheir basic principles are described. The algorithms are compared from different viewpoints.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    JA - Electronics and optoelectronics

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    Z - Vyzkumny zamer (s odkazem do CEZ)

Others

  • Publication year

    2011

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 17th Conference STUDENT EEICT 2011 Volume 3

  • ISBN

    978-80-214-4273-3

  • ISSN

  • e-ISSN

  • Number of pages

    5

  • Pages from-to

  • Publisher name

    NOVPRESS s.r.o.

  • Place of publication

    Brno

  • Event location

    Brno

  • Event date

    Apr 28, 2011

  • Type of event by nationality

    CST - Celostátní akce

  • UT code for WoS article