• DocumentCode
    3541419
  • Title

    Grouped incoherent measurements for compressive sensing

  • Author

    Polak, Adam C. ; Duarte, Marco F. ; Goeckel, Dennis L.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Massachusetts Amherst, Amherst, MA, USA
  • fYear
    2012
  • fDate
    5-8 Aug. 2012
  • Firstpage
    732
  • Lastpage
    735
  • Abstract
    Compressive sensing (CS) allows for acquisition of sparse signals at sampling rates significantly lower than the Nyquist rate required for bandlimited signals. Recovery guarantees for CS are generally derived based on the assumption that measurement projections are selected independently at random. However, for many practical signal acquisition applications, this assumption is violated as the projections must be taken in groups. In this paper, we consider such applications and derive requirements on the number of measurements needed for successful recovery of signals when groups of dependent projections are taken at random. We find a penalty factor on the number of required measurements with respect to the standard CS scheme that employs conventional independent measurement selection and verify the predicted penalty through simulations.
  • Keywords
    signal detection; Nyquist rate; bandlimited signals; compressive sensing; grouped incoherent measurements; signal acquisition; signal recovery; sparse signals acquisition; Coherence; Compressed sensing; Magnetic resonance imaging; Measurement; Receivers; Sparse matrices; Trajectory; compressive sensing; grouped sampling; incoherent measurements;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing Workshop (SSP), 2012 IEEE
  • Conference_Location
    Ann Arbor, MI
  • ISSN
    pending
  • Print_ISBN
    978-1-4673-0182-4
  • Electronic_ISBN
    pending
  • Type

    conf

  • DOI
    10.1109/SSP.2012.6319807
  • Filename
    6319807