Presentation | 1995/5/26 A Study on Performance Characteristics of an IIR Adaptive Algorithm Based on the Newton Method Hiroki Kondoh, Yoshio Itoh, Koshiro Kitao, Yutaka Fukui, Masaki Kobayashi, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, we consider on an IIR Newton adaptive algorithm. First, the IIR type Newton method is explained. Next, we derive a recursive algorithm of the inverse matrix which is used in the method. The Newton method with the recursive algorithm is called as the RG / Newton algorithm. Furthermore, the IIR SER algorithm, that is well known as IIR Newton metod, is shown. Finally, the RG / Newton algorithmis compared with the IIR SER by computer simulations. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | IIR adaptive algorithm / RG/Newton method / HR SER method / rate of convergence |
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Committee | DSP |
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Conference Date | 1995/5/26(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Digital Signal Processing (DSP) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Study on Performance Characteristics of an IIR Adaptive Algorithm Based on the Newton Method |
Sub Title (in English) | |
Keyword(1) | IIR adaptive algorithm |
Keyword(2) | RG/Newton method |
Keyword(3) | HR SER method |
Keyword(4) | rate of convergence |
1st Author's Name | Hiroki Kondoh |
1st Author's Affiliation | Faculty of Engineering Tottori University() |
2nd Author's Name | Yoshio Itoh |
2nd Author's Affiliation | Faculty of Engineering Tottori University |
3rd Author's Name | Koshiro Kitao |
3rd Author's Affiliation | Faculty of Engineering Tottori University |
4th Author's Name | Yutaka Fukui |
4th Author's Affiliation | Faculty of Engineering Tottori University |
5th Author's Name | Masaki Kobayashi |
5th Author's Affiliation | Faculty of Engineering Ibaraki University |
Date | 1995/5/26 |
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Volume (vol) | vol.95 |
Number (no) | 68 |
Page | pp.pp.- |
#Pages | 6 |
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