FMmlet變換在信號分離中的應(yīng)用
Application of FMmlet Transform to signal separation
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摘要: 具有非線性時(shí)頻關(guān)系的多分量信號的頻譜占有較寬的頻帶、并且各信號分量的頻譜常?；ハ嘟化B,因之難以用常規(guī)的濾波方法將各信號分量分離,將信號與背景噪聲分離亦非易事。由于FMm let變換的原子能匹配信號的線性和非線性時(shí)變成分,因此本文提出采用FMm let變換進(jìn)行信號分離。實(shí)際算例結(jié)果印證了本文方法的有效性。
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關(guān)鍵詞:
- FMmlet變換; 信號分離; 濾波; 時(shí)頻信號表示
Abstract: 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. -
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]鄒紅星,周小波,李衍達(dá),一種多譜線增強(qiáng)器,電子科學(xué)學(xué)刊,2000,22(2),226-232. -
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