• DocumentCode
    128360
  • Title

    A new design criterion for optimal measurement matrix in compressed sensing systems

  • Author

    Dan Li ; Huang Bai ; Sheng Li ; Xincai Huang ; Liping Chang

  • Author_Institution
    Zhejiang Provincial Key Lab. for Signal Process., Zhejiang Univ. of Technol., Hangzhou, China
  • fYear
    2014
  • fDate
    9-11 June 2014
  • Firstpage
    447
  • Lastpage
    451
  • Abstract
    This paper deals with the optimal measurement matrix design problem for compressed sensing (CS) systems with a dictionary given. Such a problem is usually formulated as to minimize the distance between the Gram of the equivalent dictionary of the CS systems and a target Gram of nice properties. A new design criterion is proposed, which is defined in terms of three popularly used target Grams. An algorithm is derived to solve the corresponding design problem. Extensive experiments have been carried out and the simulation results have demonstrated the superiority of the new proposed method.
  • Keywords
    compressed sensing; Gram; compressed sensing systems; design criterion; nice properties; optimal measurement matrix; Accuracy; Coherence; Compressed sensing; Dictionaries; Error analysis; PSNR; Compressed Sensing; measurement matrix; mutual coherence; tight frame;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications (ICIEA), 2014 IEEE 9th Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4799-4316-6
  • Type

    conf

  • DOI
    10.1109/ICIEA.2014.6931205
  • Filename
    6931205