DSpace width= university logo mark
Japanese | English 

KURA > B. 理工学域・研究域/理工学部/自然科学研究科 > b10. 学術雑誌掲載論文 > 1.査読済論文(工) >


ファイル 記述 サイズフォーマット
TE-PR-NAKAYAMA-K-999.pdf374.42 kBAdobe PDF
タイトル: A stable least square algorithm based on predictors and its application to fast Newton transversal filters
著者: Wang, Youhua
Nakayama, Kenji link image
中山, 謙二
ナカヤマ, ケンジ
発行日: 1995年 8月
出版社(者): IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences = 電子情報通信学会
雑誌名: IEICE transactions on fundamentals of electronics, communications and computer
ISSN: 0916-8508
巻: E78-A
号: 8
開始ページ: 999
終了ページ: 1003
抄録: In this letter, we introduce a predictor based least square (PLS) algorithm. By involving both order- and time-update recursions, the PLS algorithm is found to have a more stable performance compared with the stable version (Version II) of the RLS algorithm shown in Ref. [1]. Nevertheless, the computational requirement is about 50% of that of the RLS algorithm. As an application, the PLS algorithm can be applied to the fast newton transversal filters (FNTF) [2]. The FNTF algorithms suffer from the numerical instability problem if the quantities used for extending the gain vector are computed by using the fast RLS algorithms. By combing the PLS and the FNTF algorithms, we obtain a much more stable performance and a simple algorithm formulation.
URI: http://hdl.handle.net/2297/18369
資料種別: Journal Article
版表示: publisher

このアイテムを引用あるいはリンクする場合は次の識別子を使用してください。 http://hdl.handle.net/2297/18369



Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - ご意見をお寄せください