Design of universal multicoset sampling patterns for compressed sensing of multiband sparse signals

Domínguez Jiménez, María Elena and González Prelcic, Nuria and Vázquez Vilar, Gonzalo and López Valcarce, Roberto (2012). Design of universal multicoset sampling patterns for compressed sensing of multiband sparse signals. In: "IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)", 26/03/2012 - 30/03/2012, Kyoto, Japón. pp. 3337-3340.

Description

Title: Design of universal multicoset sampling patterns for compressed sensing of multiband sparse signals
Author/s:
  • Domínguez Jiménez, María Elena
  • González Prelcic, Nuria
  • Vázquez Vilar, Gonzalo
  • López Valcarce, Roberto
Item Type: Presentation at Congress or Conference (Article)
Event Title: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Event Dates: 26/03/2012 - 30/03/2012
Event Location: Kyoto, Japón
Title of Book: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Date: 2012
Subjects:
Freetext Keywords: Multicoset sampling, compressive sampling, multiband sparse signal, TI-ADC, universal pattern
Faculty: E.T.S.I. Industriales (UPM)
Department: Matemática Aplicada a la Ingeniería Industrial
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Many problems in digital communications involve wideband radio signals. As the most recent example, the impressive advances in Cognitive Radio systems make even more necessary the development of sampling schemes for wideband radio signals with spectral holes. This is equivalent to considering a sparse multiband signal in the framework of Compressive Sampling theory. Starting from previous results on multicoset sampling and recent advances in compressive sampling, we analyze the matrix involved in the corresponding reconstruction equation and define a new method for the design of universal multicoset codes, that is, codes guaranteeing perfect reconstruction of the sparse multiband signal.

More information

Item ID: 20487
DC Identifier: http://oa.upm.es/20487/
OAI Identifier: oai:oa.upm.es:20487
Deposited by: Memoria Investigacion
Deposited on: 26 Feb 2014 16:44
Last Modified: 21 Apr 2016 23:19
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