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离散正交小波包及其在噪声抑制中的应用 被引量:1

Discrete Orthogonal Wavelet Packets and Its Application to Reducing Noise
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摘要 目的研究有限长序列的小波包处理和噪声抑制的方法.方法用正交共轭滤波器构造有限维内积空间的正交直和分解及有限长离散小波包,分析了噪声的小波包分解系数的特性,并提出小波包变换域降噪的方法.结果和结论用正弦信号和阻尼指数信号所做的降噪实验结果表明,基于最佳小波包基分解系数的硬门限处理方法能有效地抑制噪声. Aim\ To study the methods of wavelet packet decomposition and noise suppression of finite length signals Methods By using the orthogonal guadrature filters, the constructing of the direct sum decomposition of finite dimension space with inner product and the discrete wavelet packets was presented The property of wavelet packet coefficients of noise was studied The method of reducing noise in wavelet packet domain was proposed Results and Conclusion The experimental results of noise reducing for a sine signal and a exponentially damped cosine signal support the efficiency of hard threshold method based on the optimum wavelet packet basis decomposition coefficients
出处 《北京理工大学学报》 EI CAS CSCD 1998年第1期70-74,共5页 Transactions of Beijing Institute of Technology
基金 电科院电子预研基金
关键词 小波包 噪声抑制 信号处理 离散正交小波包 wavelet packets noise suppression signal processing
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  • 1Leung H. Experimental modeling of electromagnetic wave scattering from an ocean surface based on chaotic theory [J]. Chaos, Solitions and Fractals,1992,2(1) :25--43.
  • 2Leung H. Chaotic radar signal processing over the seaI[J]. IEEE Journal of Oceanic Engineering, 1993,18(3):287--295.
  • 3Chakravarthi R P. Radar target detection in chaotic clutter [ Z ]. The 1997 IEEE National Radar Conference, New York, 1997.
  • 4Daubechies I. Orthonormal bases of compactly supported wavelets[J]. Communication on Pure and Applied Mathematics, 1988,41 ( 11 ) : 909 -- 996.
  • 5Takens .F. Detecting strange atrractors in turbulence[J]. Lecture Notes in Math, 1981,898:366--381.
  • 6Casdagli M. Nonlinear prediction of chaotic time series[J]. Physica, 1989,D35 : 335-- 356.
  • 7He X, Lapedes A. Nonlinear modeling and prediction by successive approximation using radialbasis functions [J]. Physica, 1994, D70 : 289 -- 301.
  • 8张鹤飞,王越,周思永.基于小波系数子树的分形图像数据压缩[J].北京理工大学学报,1999,19(3):352-356. 被引量:3
  • 9曾昭才,段虞荣,段绍光.基于径向基函数网络的混沌时间序列分析[J].重庆大学学报(自然科学版),1999,22(6):113-120. 被引量:9
  • 10程乾生,武连文,王守章.基于属性聚类网络和径向基函数的融合预测[J].科学通报,2000,45(11):1211-1216. 被引量:3

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