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Volume 24 Issue 2
Feb.  2002
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Dai Qionghai, Zou Hongxing, Li Yanda . Application of FMmlet Transform to signal separation[J]. Journal of Electronics & Information Technology, 2002, 24(2): 198-203.
Citation: Dai Qionghai, Zou Hongxing, Li Yanda . Application of FMmlet Transform to signal separation[J]. Journal of Electronics & Information Technology, 2002, 24(2): 198-203.

Application of FMmlet Transform to signal separation

  • Received Date: 2000-08-23
  • Rev Recd Date: 2001-05-09
  • Publish Date: 2002-02-19
  • Since the multicomponent signal with nonlinear time-frequency structures occupies a wide frequency band, and the spectral contents of the signal components may alias, it is therefore difficult to separate the signal components and to separate the signal from background noise. In this paper, a new signal separation method using FMmlet transform is proposed taking the advantage that the atoms of FMmlet transform can match both the linear and nonlinear time-varying structures. Theoretical predictions and numerical experiments show the feasibility of the methodology advocated.
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  • S. Mallat, Z. Zhang, Matching pursuits with time-frequency dictionaries, IEEE Trans. on SP,1993, 41(12), 3397-3415.[2]S. Qian, D. Chen, Signal representation using adaptive normalized Gaussian functions, Signal Processing, 1994, 36(1), 1-11.[3]A. Bultan, A four-parameter atomic decomposition of chirplets, IEEE Trans. on SP, 1999, 47(3),731-745.[4]H. Zou, Q Dai, R. Wang, Y. Li, Parametric TFR via windowed exponential frequency modulated atoms, IEEE Signal Processing Letters, 2001, 8(5), 140-142.[5]P. Flandrin, Some features of time-frequency representations of multi-component signals, IEEE Int. Conf. on ASSP, San Diego(CA), 1984, 41.B.4.1-41.B.4.[6]邹红星,周小波,李衍达,一种多谱线增强器,电子科学学刊,2000,22(2),226-232.
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