| Presentation | 1996/6/14 An Analysis of Nonlinear Autoregressive Moving Average Model via Discrete Fourier Transform Satoshi ICHlKAWA, Keishi KAMATA, |
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| PDF Download Page | PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | Nonlinear autoregressive moving average model (NARMA model) is widely used as a mathematical model for many systems whose relationships between input and output signals are described by nonlinear difference equations. In this system, output signal at observed point is determined by nonlinear function constracted by past output signals and present・past input signals and it is used as prediction model for unknown system. In this paper, we assume finite length random time series as fundamental component of periodic signal and present an analysis method via discrete Fourier transform. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | NARMA model / nonlinear difference equation / random signal / discrete Fourier transform |
| Paper # | NLP96-38 |
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| Conference Information | |
| Committee | NLP |
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| Conference Date | 1996/6/14(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Nonlinear Problems (NLP) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Analysis of Nonlinear Autoregressive Moving Average Model via Discrete Fourier Transform |
| Sub Title (in English) | |
| Keyword(1) | NARMA model |
| Keyword(2) | nonlinear difference equation |
| Keyword(3) | random signal |
| Keyword(4) | discrete Fourier transform |
| 1st Author's Name | Satoshi ICHlKAWA |
| 1st Author's Affiliation | Graduate School of Engineering, Kyoto University() |
| 2nd Author's Name | Keishi KAMATA |
| 2nd Author's Affiliation | Graduate School of Engineering, Kyoto University |
| Date | 1996/6/14 |
| Paper # | NLP96-38 |
| Volume (vol) | vol.96 |
| Number (no) | 94 |
| Page | pp.pp.- |
| #Pages | 8 |
| Date of Issue | |