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
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
Electrical and Computer Engineering
International Standard Serial Number (ISSN)
Article - Journal
© 2023 Institute of Electrical and Electronics Engineers, All rights reserved.
01 Jan 1995