| 研究生: |
李敬中 Li, Ching-Chung |
|---|---|
| 論文名稱: |
未知電磁場訊號源分離及其相位恢復之探討 Study on Blind Phase Retrieval and Source Separation of Electromagnetic Fields |
| 指導教授: |
陳志隆
Chern, Jyh-Long |
| 學位類別: |
碩士 Master |
| 系所名稱: |
理學院 - 物理學系 Department of Physics |
| 論文出版年: | 2002 |
| 畢業學年度: | 90 |
| 語文別: | 中文 |
| 論文頁數: | 72 |
| 中文關鍵詞: | 複數訊號 、未知訊號分離 、電磁波訊號 |
| 外文關鍵詞: | Blind Signal |
| 相關次數: | 點閱:139 下載:3 |
| 分享至: |
| 查詢本校圖書館目錄 查詢臺灣博碩士論文知識加值系統 勘誤回報 |
在本論文中,我們主要研究於未知訊號分離的問題,並將其拓展到複數的電磁波訊號的分離問題上面,將訊號的振幅分離及相位差恢復出來。並且針對已知的未知訊號分離的方法加以探討,找出快速的近似方法將其最佳化。
In this thesis, we study on blind signal separation, and extend to the question of complex blind signals of electromagnetic fields, separating the amplitude and retrieving the Phase of signals. And we study on previous methods of separation of blind signals for finding a new quick- approximate method to optimize it.
In this thesis, the classical issue of blind source separation is addressed. We show how to make phase retrieval and intensity separation for mixed complex electromagnetic fields. The issue of optimization also is discussed.
[1] A. Cichocki and R. Unbhauen, “Neural Networks for Optimization and Signal Processing,” JOHN WILEY & SONS, 1993, pp.461-474
[2] J. Herault and C. Jutten, “Space or time adaptive signal processing by neural network models,” in AIP Conf. Proc., snowbird, UT 1986,pp.206-211
[3] L. Molgedey and H. G. Schuster, “Separation of a Mixture of Independent Signals Using Time Delayed Correlations”, Physical Review Latters, vol.72, no.23, pp. 3634-3637 JUNE 1994
[3] C. Jutten and J. Herault, “Indepent component analysis (INCA) versus principal component analysis”, in Signal Processing IV, Ed. J.Llacoume, Elsevier, Amsterdam, 1988, pp.643-646
[4] C. Jutten and J. Herault, “Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture”, Signal Processing, vol.24, 1991, pp.1-10
[5] P. Comon, C. Jutten and J. Herault, “Blind separation of sources, Part II: problem statement”, Signal Processing, vol.24, 1991, pp.11-20
[6] E. Sorouchyari, “Blind separation of sources, Part III: stability analysis,” Signal Processing, vol.24, 1991, pp.21-29
[7] J. Cardoso, “Source separation using higher order moments,” Proc. IEEE ICASSP, 1989, vol.4, pp.2109-2112
[8] J. Cardoso, “Super-symmetric decomposition of the fourth-order cumulant tenser; Blind identification of more sources than sensors,” Proc. IEEE ICASSP-91 Toronto, 1991, pp.3109-3112
[9] J. Vandewalle and B. De Moore, ”A variety of applications of singular value decomposition in indentification and signal processing,” in SVD and Signal Processing, ed. E. F. Deprettere, Elsevier, Amsterdam, 1988, pp.43-91.
[10] A. Cichocki and T. Lobos, “Adaptive analogue network for real-time estimation of basic waveforms of voltages and currents,” IEE Proc. Part-C, vol.139, 1992, pp. 343-350
[11] P. Holland and R. Welsch, “Robust regression using iteratively reweighted least squares,” Communications in Statistics-Theory and Methods, vol. A6, 1977, pp.813-827.
[12] A. Cichocki and L. Moszczynski, ”New learning algorithm for blind seperation of sources,” Electronics Letter, vol.28, no.21, 1992, pp.1986-1987