頁籤選單縮合
題 名 | Wavelet-Based Shift-Invariant Noise Model |
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作 者 | Wang, Fu-tai; Lee, Jenny Chih-yu; Chang, Shun-hsyung; | 書刊名 | Journal of Marine Science and Technology |
卷 期 | 14:4 民95.12 |
頁 次 | 頁195-201 |
分類號 | 440.137 |
關鍵詞 | Dual-tree discrete wavelet transform; Underwater sound; Detection; |
語 文 | 英文(English) |
英文摘要 | ABSTRACT This paper proposes the use of shift-invariant dual-tree discrete wavelet transform (DT DWT) noise model to the problem of a multipath signal detection in underwater environment. The design procedure for this adaptive model of the background noise is described. When an input signal is shifted, as in a multipath environment, this shift-invariant DT DWT can generate multi-resolution subspaces. Each of them keeps more coefficient energy of this signal than DWT’s. The result of computer simulations shows that this method can improve the performance of a multipath signal detection, by reducing the false alarm probability in a range of different signal-tonoise (SNR) ratios. |
本系統中英文摘要資訊取自各篇刊載內容。