• DocumentCode
    3436603
  • Title

    Adaptive multirate signal estimation with lattice orthogonalization

  • Author

    Tanc, Ahmet Korhan ; Eksioglu, Ender Mete ; Kayran, Ahmet Hamdi

  • Author_Institution
    Fac. of Electr. & Electron. Eng., Istanbul Tech. Univ., Istanbul, Turkey
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    117
  • Lastpage
    119
  • Abstract
    In this paper, we address the signal estimation problem in statistical multirate systems. We propose an adaptive least squares lattice filter which is sequential and periodically time varying (PTV) with the multirate system period. Furthermore, we consider the elimination of redundant mathematical operations due to sequential processing of multirate observations. Experimental results show that our multirate lattice filter is fast convergent and it has lower order computational complexity when compared with the transversal structure.
  • Keywords
    computational complexity; least squares approximations; signal processing; time-varying filters; adaptive least squares lattice filter; adaptive multirate signal estimation; computational complexity; lattice orthogonalization; multirate signal processing methods; periodically time varying filters; sequential processing; statistical multirate systems; Adaptive filters; Computational complexity; Estimation; Finite impulse response filter; Lattices; Least squares methods; Nonlinear filters; Sensor systems; Signal processing; Time varying systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electronics, Circuits, and Systems, 2009. ICECS 2009. 16th IEEE International Conference on
  • Conference_Location
    Yasmine Hammamet
  • Print_ISBN
    978-1-4244-5090-9
  • Electronic_ISBN
    978-1-4244-5091-6
  • Type

    conf

  • DOI
    10.1109/ICECS.2009.5410937
  • Filename
    5410937