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No. 55 (1998/03) >

 
Title :LMS法に基づく2次元適応ボルテラフィルタ
Title alternative :A 2-D Adaptive Volterra Filter Based on LMS Method
Authors :金城, 唯司
半塲, 滋
宮城, 隼夫
山下, 勝己
Authors alternative :Kinjyo, Tadashi
Hanba, Shigeru
Miyagi, Hayao
Yamashita, Katsumi
Issue Date :Mar-1998
Abstract :The Volterra filter is a nonlinear filter presented by the Volterra series expansion which is well known as a generalization of the Taylor series expansion. From a practical point of view, a number of applications have been limitted to using second-order Volterra filters, because of the computational complexity that exponentially increases with the Volterra filter order. On the other hand, few researchers have attempted to design two-dimensional (2-D) Volterra filters in 2-D signal fields. The purpose of this paper is to present a 2-D Volterra filter which can deal with 2-D signal such as image signal and determine the optimum Volterra kernel in the same manner as the approach for I-D case, based on the assumption that the input field is Gaussian. Also, 2-D adaptive Volterra filter based on LMS algolithm is designed, and then, for 2-D system identification, the effectiveness of the proposed adaptive filter is evaluated using digital computer simulations.
Type Local :紀要論文
ISSN :0389-102X
Publisher :琉球大学工学部
URI :http://hdl.handle.net/20.500.12000/13807
Citation :琉球大学工学部紀要 no.55 p.61 -64
Appears in Collections:No. 55 (1998/03)

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