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Fast Wavelet Transform and Its Application to Detecting Detonation
http://hdl.handle.net/10191/6490
http://hdl.handle.net/10191/6490af6824f0-781d-4c13-9046-1cadb0d786d1
名前 / ファイル | ライセンス | アクション |
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e75-a_8_980.pdf (1.2 MB)
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Item type | 学術雑誌論文 / Journal Article(1) | |||||
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公開日 | 2008-07-16 | |||||
タイトル | ||||||
タイトル | Fast Wavelet Transform and Its Application to Detecting Detonation | |||||
タイトル | ||||||
言語 | en | |||||
タイトル | Fast Wavelet Transform and Its Application to Detecting Detonation | |||||
言語 | ||||||
言語 | eng | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | digital signal processing | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | wavelets | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | signals and waves | |||||
キーワード | ||||||
主題Scheme | Other | |||||
主題 | acoustics | |||||
資源タイプ | ||||||
資源 | http://purl.org/coar/resource_type/c_6501 | |||||
タイプ | journal article | |||||
著者 |
Kikuchi, Hisakazu
× Kikuchi, Hisakazu× Nakashizuka, Makoto× Watanabe, Hiromichi× Watanabe, Satoru× Tomisawa, Naoki |
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著者別名 | ||||||
識別子 | 6286 | |||||
識別子Scheme | WEKO | |||||
姓名 | 菊池, 久和 | |||||
著者別名 | ||||||
識別子 | 6287 | |||||
識別子Scheme | WEKO | |||||
姓名 | 渡辺, 弘道 | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Fast wavelet transform is presented for realtime processing of wavelet transforms. A processor for the fast wavelet transform is of the frequency sampling structure in architectural level. The fast wavelet transform owes its parallelism both to the frequency sampling structure and parallel tapping of a series of delay elements. Computational burden of the fast transform is hence independent of specific scale values in wavelets and the parallel processing of the fast transform is readily implemented for real-time applications. This point is quite different from the computation of wavelet transforms by convolution. We applied the fast wavelet transform to detecting detonation in a vehicle engine for precise real-time control of ignition advancement. The prototype wavelet for this experiment was the Gaussian wavelet (i.e. Gabor function) which is known to have the least spread both in time and in frequency. The number of complex multiplications needed to compute the fast wavelet transform over 51 scales is 714 in this experiment, which is less than one tenth of that required for the convolution method. Experimental results have shown that detonation is successfully detected from the acoustic vibration signal picked up by a single knock sensor embedded in the outer wall of a V/8 engine and is discriminated from other environmental mechanical vibrations. | |||||
書誌情報 |
IEICE transactions on fundamentals of electronics, communications and computer sciences en : IEICE transactions on fundamentals of electronics, communications and computer sciences 巻 E75-A, 号 8, p. 980-987, 発行日 1992-08 |
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出版者 | ||||||
出版者 | The Institute of Electronics, Information and Communication Engineers | |||||
ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09168508 | |||||
書誌レコードID | ||||||
収録物識別子タイプ | NCID | |||||
収録物識別子 | AA10826239 | |||||
権利 | ||||||
権利情報 | copyright©1992 IEICE | |||||
著者版フラグ | ||||||
値 | publisher | |||||
異版である | ||||||
関連タイプ | isVersionOf | |||||
識別子タイプ | URI | |||||
関連識別子 | http://www.ieice.org/jpn/trans_online/ |