| SELECTION OF PROPER EMBEDDING DIMENSION IN PHASE SPACE RECONSTRUCTION OF SPEECH SIGNALS |
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| 引用本文： | Lin Jiayu Huang Zhiping Wang Yueke Shen Zhenken (Dept.4 and Dept.8,Nat/onaJ University of Defence Technology,Changsha 410073). SELECTION OF PROPER EMBEDDING DIMENSION IN PHASE SPACE RECONSTRUCTION OF SPEECH SIGNALS[J]. 电子科学学刊(英文版), 2000, 17(2): 161-169. DOI: 10.1007/BF02903194 |
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| 作者姓名： | Lin Jiayu Huang Zhiping Wang Yueke Shen Zhenken (Dept.4 and Dept.8 Nat/onaJ University of Defence Technology Changsha 410073) |
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| 作者单位： | Dept.4 and Dept.8，Nat/onaJ University of Defence Technology，Changsha 410073 |
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| 基金项目： | Supported by the Naltural Science Foundation of Hunan Province(97JJY1006)，Open Foundation of Stalte Key Lab. of Theory and Chief Technology on ISN of Xidian University(991894102) |
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| 摘 要： | In phase space reconstruction of time series, the selection of embedding dimension is important. Based on the idea of checking the behavior of near neighbors in the reconstruction dimension, a new method to determine proper minimum embedding dimension is constructed. This method has a sound theoretical basis and can lead to good result. It can indicate the noise level in the data to be reconstructed, and estimate the reconstruction quality. It is applied to speech signal reconstruction and the generic embedding dimension of speech signals is deduced.
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Selection of proper embedding dimension in phase space reconstruction of speech signals |
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| Jiayu Lin,Zhiping Huang,Yueke Wang,Zhenken Shen. Selection of proper embedding dimension in phase space reconstruction of speech signals[J]. Journal of Electronics, 2000, 17(2): 161-169. DOI: 10.1007/BF02903194 |
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| Authors: | Jiayu Lin Zhiping Huang Yueke Wang Zhenken Shen |
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| Affiliation: | (1) Dept.4, National University of Defence Technology, 410073 Changsha;(2) Dept.8, National University of Defence Technology, 410073 Changsha |
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| Abstract: | In phase space reconstruction of time series, the selection of embedding dimension is important. Based on the idea of checking the behavior of near neighbors in the reconstruction dimension, a new method to determine proper minimum embedding dimension is constructed. This method has a sound theoretical basis and can lead to good result. It can indicate the noise level in the data to be reconstructed, and estimate the reconstruction quality. It is applied to speech signal reconstruction and the generic embedding dimension of speech signals is deduced. |
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| Keywords: | Speech signals Chaos Phase space reconstruction Embedding dimension False nearest neighbor Noise level estimation Reconstruction quality |
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