The normalized least-squares order-recursive lattice smoother
SCIE
SCOPUS
- Title
- The normalized least-squares order-recursive lattice smoother
- Authors
- Kim, DK; Park, P
- Date Issued
- 2002-06
- Publisher
- ELSEVIER SCIENCE BV
- Abstract
- This paper introduces a variance- and 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-off 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 finite-precision arithmetic is used. (C) 2002 Elsevier Science B.V. All rights reserved.
- Keywords
- adaptive filters; normalized LSORL smoothers; smoothing algorithms; least-squares lattice algorithms; order-recursive structures geometric interpretation; finite precision arithmetic; ALGORITHMS
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/19038
- DOI
- 10.1016/S0165-1684(02)00199-8
- ISSN
- 0165-1684
- Article Type
- Article
- Citation
- SIGNAL PROCESSING, vol. 82, no. 6, page. 895 - 905, 2002-06
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