電磁后向散射波數(shù)據(jù)的小波包變換分析
WAVELET PACKET ANALYSIS OF ELECTROMAGNETIC BACKSCATTERING DATA
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摘要: 本文采用小波包變換方法對電磁散射波數(shù)據(jù)進行了分析,表明小波包變換的自適應多分辨分析性質非常適合電磁波的多尺度特征分析。特別地,在計算速度和分析效果等方面都優(yōu)于H。Kim,J。Ling(1992,1993)所采用的連續(xù)小波變換技術,從而豐富和發(fā)展了電磁波的時頻分析手段,同時也為小波技術在瞬變電磁場的進一步應用提供了新途徑。Abstract: An analysis of electromagnetic backscattering data using Wavelet Packet Transfrom (WPT) is presented. Due to its adaptive multiresolution property. WPT is well adapted to resolve the multiscale features of backscattering data. In particular, with respect to the consequence of analysis and computational complexity, WPT results in a better representation of backscattering data over Continuous Wavelet Tramsform (CWT) which was employed by II. Kim, H. Ling (1992, 1993). So WPT method makes a contribution to the time-frequency analysis of the electromagnetic wave. Furthermore, it is shown that WPT method offers a new approach for the further application of wavelet to instantaneous magnetic field.
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Flandrin P, et al. IEEE Trans. on ASSP, 1990, ASSP-38(2): 350-352.[2]Kim H, Ling H. IEEE Trans. on AP., 1993, AP-41(2): 200 207.[3]Ling H, Kim H, IEEE Microwave and Guided Wave Letters, 1992, 2(4): 140-192.[4]Kim 13. Liug H, Electron. Lett., 1992, 28(3): 179-280.[5]Grossmann A, et al. Readling and Understanding Continous Wavelet Transforms, in Wavelets, Time-[6]Fretlueny Methods and Phase Spatce.J. Conbes, et al eds., Proceedings of the International Conference,Marseille,France: Springer Velag, 1987, 2-20.[7]Wiclcerhauser M V. Lect ores on Wavelet Packet Algorithms, Preprint,Washington University, St. Louis, Missori: 1991.[8]Coifman N, Wickerhauser M V. IEEE Trans. on IT, 1992, IT-38(1): 713-718.[9][8][10]Daubechies I. Common[J].Pure and Appl. Math.1988, 41:909-996 -
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