@inproceedings{6259132d4e3d4ce988baa58b7db90f72,
title = "Configuring stack filters by the LMS algorithm",
abstract = "Stack filters are a class of sliding-window nonlinear digital filters that possess the weak superposition property (threshold decomposition) and the ordering property known as the stacking property. They have been demonstrated to be robust in suppressing noise. In this paper, a new method based on the Least Means Squares (LMS) algorithm is developed to adaptively configure a stack filter. Experimental results are presented to demonstrate the effectiveness of the proposed method to noise suppression.",
author = "Nirwan Ansari and Yuchou Huang and Lin, {Jean hsang}",
year = "1991",
language = "English (US)",
isbn = "0780301188",
series = "Neural Networks for Signal Processing",
publisher = "Publ by IEEE",
pages = "570--579",
booktitle = "Neural Networks for Signal Processing",
note = "Proceedings of the 1991 Workshop on Neural Networks for Signal Processing - NNSP-91 ; Conference date: 30-09-1991 Through 02-10-1991",
}