• DocumentCode
    1680294
  • Title

    A novel method to derive explicit KLT kernel for AR(1) process

  • Author

    Torun, Mustafa U. ; Akansu, Ali N.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2013
  • Firstpage
    5701
  • Lastpage
    5705
  • Abstract
    The derivation of explicit Karhunen-Loève transform (KLT) kernel for an auto-regressive order one, AR(1), process has been of a major implementation concern. The main reason is due to difficulties in finding the roots of a transcendental tangent equation as required in the derivation. We propose a novel method to derive explicit KLT kernel for discrete AR(1) process. The merit of the proposed technique is highlighted. The proposed method has a good potential to make real-time KLT applications more feasible in the coming years.
  • Keywords
    Karhunen-Loeve transforms; autoregressive moving average processes; covariance matrices; signal processing; Karhunen Loeve transform; autoregressive order one; explicit KLT kernel; transcendental tangent equation; Correlation; Eigenvalues and eigenfunctions; Equations; Kernel; Mathematical model; Transforms; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638756
  • Filename
    6638756