Abstract
Conventional Least Squares Order-Recursive Lattice (LSORL) Filters Use Present and Past Data Values to Estimate the Present Value of a Signal. This Paper Introduces LSORL Smoothers Which Use Past, Present and Future Data for that Purpose. Except for an overall Delay Needed for Physical Realization, LSORL Smoothers Can Substantially Outperform LSORL Filters While Retaining All the Advantages of an Order-Recursive Structure. © 1995 IEEE
Recommended Citation
J. T. Yuan and J. A. Stuller, "Least Squares Order-Recursive Lattice Smoothers," IEEE Transactions on Signal Processing, vol. 43, no. 5, pp. 1058 - 1067, Institute of Electrical and Electronics Engineers, Jan 1995.
The definitive version is available at https://doi.org/10.1109/78.382393
Department(s)
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
1941-0476; 1053-587X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 1995
