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提升小波变换技术在多传感器数据融合中的应用 被引量:2

Lifting Wavelet Transform Technique Application in Multi-sensor Data Fusion
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摘要 为克服传统小波变换的不足,采用提升小波变换法设计了能较好处理非线性问题的小波域中值滤波器,并应用于水电厂水轮机噪声监测数据融合中,对具有不同分辨率的多传感器数据进行融合,结果表明该算法有效。 In order to overcome the shortcoming of traditional wavelet transformation, the lifting wavelet transform method is proposed to fuse multi-sensors data in this paper. The Wavelet Domain Median Filter which can process nonlinear problem commendably is designed according its algorithm characteristic. The improved data fusion way is used to fuse multi-resolution data in monitoring noise of water power plant's hydraulic turbine which can fuse multi-sensors data in different resolution. The fusing result indicates the designed modified algorithm is effective.
出处 《水电能源科学》 2008年第1期145-147,196,共4页 Water Resources and Power
基金 湖北省教育厅科研基金资助项目(D200517001) 国家自然科学基金资助项目(50779020)
关键词 小波提升算法 中值滤波器 小波域中值滤波器 多传感器 数据融合 wavelet lifting algorithm median filter wavelet domain median filter multi sensors data fusion
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  • 1赵广涛,程荫杭.基于超声波传感器的测距系统设计[J].微计算机信息,2006,22(01S):129-130. 被引量:88
  • 2[1]Chou K C, Golden S A, Willsky A S. Multiresolution Stochastic Models, Data Fusion, and Wavelet Transform[J]. Signal Processing, 1993, 34(3):257-282.
  • 3[2]Donoho D L. De-Noising by Soft Thresholding[J]. IEEE Trans. on Information Theory, 1995, 41(3):613-627.
  • 4[3]Sweldens W. The Lifting Scheme: A Custom-Design Construction of Biothogonal Wavelets[J]. Journal of Applied and Comput Harmonic Analysis, 1996,3(2): 186-200.
  • 5[4]Swelden W. The Lifting Scheme: A Construction of Second Generation Wavelet[J]. SIAM J. Math. Anal., 1998,29:511-546.
  • 6[5]Claypoole R L, Baraniukm R G, Nowark R D. Adaptive Wavelet Transform via Lifting Scheme[C]. Proc. IEEE Conf. on Acoustics, Speech and Signal Processing, Phoenix, 1998(3):1513-1518.
  • 7[6]Ho W J, Chang W T. Adaptive Predictor Based on Maximally Flat Halfband Filter in Lifting Scheme[J]. IEEE Trans. on Signal Processing, 1999,47(11):2965-2977.
  • 8[1]Donoho D L. De-noising by soft-thresholding[C]. IEEE Trans on IT, 1995, (3): 613-627
  • 9[2]Lee J S. Digital image enhancement and noise filtering by use local statistics[C]. IEEE Trans on Pattern Anal.Machine Intell, 1980, (2): 165-168
  • 10[3]Tong S, Moncef C, Yrjo N. Adaptive L-filter based on local statistics[C]. IEEE Winter Workshop on Nonlinear Digital Signal Processing, 1993:3.2-2.1-3.2-2.4

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