• DocumentCode
    1506441
  • Title

    A frequency domain weighting function approach to extrapolation

  • Author

    Thompson, Phillip J. ; Manry, Michael T.

  • Author_Institution
    Dept. of Electr. Eng., Texas Univ., Arlington, TX, USA
  • Volume
    38
  • Issue
    8
  • fYear
    1990
  • fDate
    8/1/1990 12:00:00 AM
  • Firstpage
    1395
  • Lastpage
    1402
  • Abstract
    A new extrapolation algorithm has been developed which is linear, noise tolerant, and computationally efficient. A bandwidth measure is defined in terms of a general frequency weighting function, and the extrapolated signal is calculated as the signal that minimizes this measure. The minimization involves the solution of a Toeplitz set of linear equations. Several properties of this technique are developed that are useful in gaining insight into the form of a solution. The algorithm is more efficient than any of its predecessors, since the coefficients of the equations have closed forms. A second advantage of the algorithm is that it is not restricted to band-limited signals. A third advantage of this technique is that it is linear
  • Keywords
    extrapolation; frequency-domain analysis; signal processing; Toeplitz set; bandwidth measure; coefficients; extrapolated signal; extrapolation algorithm; frequency domain weighting function; linear algorithm; linear equations; minimization; noise tolerant algorithm; signal processing; Autocorrelation; Bandwidth; Electric breakdown; Equations; Extrapolation; Frequency domain analysis; Hardware; Sampled data systems; Signal processing; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/29.57574
  • Filename
    57574