@inproceedings{9a87391948584a5f90d93b4eb34d4fdf,
title = "Two-dimensional recursive adaptive filtering",
abstract = "Two-dimensional adaptive filters are useful in a wide variety of image and video processing applications. Several different two-dimensional structures and algorithms have been developed, the most recent of which is a 2-D IIR adaptive filter. IIR adaptive filters offer reduced computational complexity and increased modeling flexibility when compared to FIR filters. A simple gradient algorithm is developed, and experimental results are presented which clearly show the dependence of convergence on the 2-D indexing scheme. Results show that the 2-D IIR mean-squared-error performance surface characteristics are similar to those of the 1-D IIR adaptive filter with respect to unimodality of the error surface. A quasi-Newton acceleration algorithm is suggested to improve the rate of convergence.",
author = "Strait, {Jeffrey C.} and Jenkins, {W. Kenneth}",
year = "1993",
language = "English (US)",
isbn = "0780312813",
series = "Proceedings - IEEE International Symposium on Circuits and Systems",
publisher = "Publ by IEEE",
pages = "319--322",
booktitle = "Proceedings - IEEE International Symposium on Circuits and Systems",
note = "1993 IEEE International Symposium on Circuits and Systems ; Conference date: 03-05-1993 Through 06-05-1993",
}