The normalized least-squares order-recursive lattice smoother

نویسندگان

  • Dong Kyoo Kim
  • PooGyeon Park
چکیده

This paper introduces a varianceand angle-normalized version of the least-squares order-recursive lattice (LSORL) smoother, say the normalized LSORL smoother, via a geometric approach. The normalized LSORL smoother has excellent round-o. noise properties and inherits all the other advantages of the normalized LSORL as well. Simulation results show that the normalized LSORL smoother outperforms the existing LSORL and QRD-based least-squares lattice smoother algorithms when 1nite-precision arithmetic is used. ? 2002 Elsevier Science B.V. All rights reserved.

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عنوان ژورنال:
  • Signal Processing

دوره 82  شماره 

صفحات  -

تاریخ انتشار 2002