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Volume 29 Issue 6
Jan.  2011
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Bi Gang, Zeng Yu. Reconstruction of Multi-component Signals Based on the Analogous Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1399-1402. doi: 10.3724/SP.J.1146.2005.01344
Citation: Bi Gang, Zeng Yu. Reconstruction of Multi-component Signals Based on the Analogous Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1399-1402. doi: 10.3724/SP.J.1146.2005.01344

Reconstruction of Multi-component Signals Based on the Analogous Fourier Transform

doi: 10.3724/SP.J.1146.2005.01344
  • Received Date: 2005-10-24
  • Rev Recd Date: 2006-04-28
  • Publish Date: 2007-06-19
  • A novel method of analogous Fourier transform is proposed for reconstruction of multi-component signals, and the behaviors of this method are investigated. This method transforms multi-component signals, which are aliasing in frequency domain but not overlapping in time-frequency spectrogram, into analogous Fourier frequency domain where no aliasing appears. Compared with the method of optimal filtering in fractional Fourier domain, this method has better applicability. Simulation results show that this method can produce reliable reconstruction signals. This method has a variety of applications in the aspect of signal detection and analysis.
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  • 张贤达, 保铮. 非平稳信号分析与处理. 北京: 国防工业出版社, 1998: 153-178.[2]Cohen L, et al.. Time-Frequency Analysis: Theory and Applications. New Jersey: Prentice Hall, 1995: 77-111.[3]Ouml;zdemir A K and Arikan O, et al.. Fast computation of the ambiguity function and the Wigner distribution on arbitrary line segments[J].IEEE Trans. on Signal Processing.2001, 49(2):381-393[4]Wang Pu, Yang Jianyu, and Du Yuming, et al.. A fast algorithm for parameter estimation of multi-component LFM signal at low SNR[J].2005 International Conference on Communications, Circuits and Systems, Hong Kong.2005, 2:765-768[5]Nickel R M, Sang T H, and Williams W J, et al.. A new signal adaptive approach to positive time-frequency distributions with suppressed interference terms. Proceedings of the 1998 IEEE International Conference on Acoustics, Speech, and Signal Processing, Seattle, 1998, 3: 1777-1780.[6]zdemir A K and Arikan O, et al.. A high resolution time frequency representation with significantly reduced cross-terms. Proceedings of the 2000 IEEE International Conference on Acoustics, Speech, and Signal Processing, Istanbul, 2000, 2: 11693-11696.[7]Khandan F and Ayatollahi A, et al.. Performance region of center affine filter for eliminating of interference terms of discrete Wigner distribution[J].Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, Rome.2003, 2:621-625[8]冉鑫, 马世伟, 曹家麟. 基于Radon-Wigner变换的多分量LFM信号的检测, 上海大学学报, 2001, 7(2): 119-122.[9]于凤芹, 曹家麟. 基于分数阶傅里叶变换的多分量Chirp信号的检测与参数估计, 电声技术, 2004, 1: 53-59.[10]冉启文, 谭立英. 分数傅里叶光学导论. 北京: 科学出版社, 2004: 257-281.
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