| 小波包分解及其参数模型 |
| |
| 引用本文： | 吴延军,赵艳,吕维雪. 小波包分解及其参数模型[J]. 应用声学, 1998, 17(3): 25-29,45 |
| |
| 作者姓名： | 吴延军 赵艳 吕维雪 |
| |
| 作者单位： | 浙江大学生命科学与医学工程系!杭州，310027，浙江大学生命科学与医学工程系!杭州，310027，浙江大学生命科学与医学工程系!杭州，310027 |
| |
| 摘 要： | 本文在小波包分析的基础之上，实现了适合于一维信号分析的小波分解算法，并将小波包分析理论和参数模型有机地结合了起来，构造了小波包参数模型。
|
| 关 键 词： | 小波包 多数模型 AR谱谱阵 分解 信号分析 |
Wavelet packet decomposition and its parametric model |
| |
| Wu Yanjun,Zhao Yan and Lu Weixue. Wavelet packet decomposition and its parametric model[J]. Applied Acoustics(China), 1998, 17(3): 25-29,45 |
| |
| Authors: | Wu Yanjun Zhao Yan Lu Weixue |
| |
| Affiliation: | Department of Life Science and medical Engineering, Zhejiang University, HangZbou 310027;Department of Life Science and medical Engineering, Zhejiang University, HangZbou 310027;Department of Life Science and medical Engineering, Zhejiang University, HangZbou 310027 |
| |
| Abstract: | On the basis of wavelet packet analysis theory we have realized the algorithm of wavelet packet decomposition properly to 1-dimension signals, and wedding the wavelet packet analysis theory and the parametric model to construct the Wavelet Packet Parametric Model (WPPM). We can use the WPPM to estimate the AR Spectrum (ARS) and the AR Spectrum Array (ARSA). The analyzing results to analogic signal illustrate that the WPPM has very high time-frequency resolution,and it has the ability to detecting the rapid changing and the weak components of the signal. |
| |
| Keywords: | Wavelet packet Parametric model AR Spectrum array |
| 本文献已被 CNKI 维普 等数据库收录！ |
| 点击此处可从《应用声学》浏览原始摘要信息 |
|
点击此处可从《应用声学》下载免费的PDF全文 |
