• DocumentCode
    974807
  • Title

    Asymmetric interpolation lattice

  • Author

    Yuan, Jenq-Tay

  • Author_Institution
    Dept. of Electron. Eng., Fu Jen Catholic Univ., Taipei, Taiwan
  • Volume
    44
  • Issue
    5
  • fYear
    1996
  • fDate
    5/1/1996 12:00:00 AM
  • Firstpage
    1256
  • Lastpage
    1261
  • Abstract
    This paper presents a new lattice structure for linear interpolation. The interpolation lattice structure is asymmetric in the sense that the number of past and future values linearly weighted to estimate the current value does not have to be identical. The lattice structure provides a computationally efficient and structurally flexible realization for the interpolation lattice. It also leads to a generalization of the concepts of the well-known linear prediction lattice and symmetric interpolation lattice
  • Keywords
    estimation theory; filtering theory; interpolation; lattice filters; least squares approximations; random processes; signal processing; asymmetric interpolation lattice; estimation; filters; lattice structure; least squares criterion; linear interpolation; linear prediction lattice; minimum mean square error criterion; signal processing; symmetric interpolation lattice; Autocorrelation; Equations; Finite impulse response filter; Interpolation; Lattices; Mean square error methods; Random processes; Signal processing; Vectors;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.502337
  • Filename
    502337