The normalized least-squares order-recursive lattice smoother

被引：4

作者：

Kim, DK ^{[1
]}

Park, P ^{[1
]}

机构：

[1] Pohang Univ Sci & Technol, Div Elect & Comp Engn, Nam Gu, Pohang 790784, South Korea

来源：

SIGNAL PROCESSING | 2002年 / 82卷 / 06期

关键词：

adaptive filters; normalized LSORL smoothers; smoothing algorithms; least-squares lattice algorithms; order-recursive structures geometric interpretation; finite precision arithmetic;

D O I：

10.1016/S0165-1684(02)00199-8

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页码：895 / 905

页数：11

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