二维盲小波算法在地震资料降噪中的应用
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摘要
根据小波分析和盲信号分离原理,结合一维盲小波算法在降噪中的应用,构建新的二维盲小波算法在金属矿地震资料噪声降噪中的运用,该算法充分发挥了小波阈值去噪与盲分离去噪的优势。通过所构建的二维盲小波算法对实际的金属矿地震资料进行处理,与金属矿地震资料其他降噪方法作比较,发现二维盲小波算法在金属矿地震资料去噪结果明显,对噪声消除达到理想结果,有利于进行深部金属矿地震勘探。
According to the principle of wavelet analysis and blind signal separation,combined with the applications of one-dimensional blind wavelet algorithm in de-noising,a new two-dimensional blind wavelet algorithm is constructed to deal with metal mine noise de-noising.The algorithm gives full play to the advantages of wavelet threshold de-noising and blind source separation de-noising.By building two-dimensional blind wavelet algorithm on the actual metal mine seismic data processing and comparing that with other metal ore de-noising methods,it is found that the two-dimensional blind wavelet algorithm is evident and desirable in the metal mine seismic data de-noising results,which is conducive to deep seismic exploration of metal mine.
According to the principle of wavelet analysis and blind signal separation,combined with the applications of one-dimensional blind wavelet algorithm in de-noising,a new two-dimensional blind wavelet algorithm is constructed to deal with metal mine noise de-noising.The algorithm gives full play to the advantages of wavelet threshold de-noising and blind source separation de-noising.By building two-dimensional blind wavelet algorithm on the actual metal mine seismic data processing and comparing that with other metal ore de-noising methods,it is found that the two-dimensional blind wavelet algorithm is evident and desirable in the metal mine seismic data de-noising results,which is conducive to deep seismic exploration of metal mine.
引文
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[7]Jian Li,Changkui Cheng,Tianyan Jiang.Wavelet Denoisingof Partial Discharge Signals Based on Genetic AdaptiveThreshold Estimation[J].IEEE Transactions on Dielectricsand Electrical Insulation,2012,19(2):543-548.
[8]Chan-Cheng Liua,Tsung-Ying Sun.Heuristic waveletshrinkage for denoising[J].Applied Soft Computing,2011,11(4):256-264.
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[10]吴海洋,周仲礼,曾凡霞,等.盲小波算法在遥感图像去噪中的应用[J].软件,2012,33(1):9-11.
[11]Hwang W L.Singularity detection and processing withwavelets[J].IEEE Information Theory Society,1992,138(2):617-643.
[12]Cardoso J F,Antoine Souloumiac.Blind Beamformingfor Non-Gaussian Signals[J].IEEE Proceedings,1993,140(6):362-370.
[13]Cardoso J F.High-order for Independent ComponentAnalysis[J].Neural Computation,1999,37(1):157-192.
[14]Zbynek Koldovsky,Efficient Variant of AlgorithmFastICA for Independent Component Analysis Attainingthe Cramer-Rao Lower Bound[J].IEEE Transactions onneural networks,2006,17(5):1 265-1 276.
[15]张念,刘天佑,李杰.FastICA算法及其在地震信号去噪中的应用[J].计算机应用研究,2009,26(4):1432-1 434.
[2]史习智.盲信号处理——理论与实践[M].上海:上海交通大学出版社,2008.
[3]Cichocki S A.吴正国,等译.自适应盲信号与图象处理[M].北京:电子工业出版社,2005.
[4]李加文,李从心.基于频域盲解卷的噪声信号分离[J].振动与冲击,2006,25(6):100-107.
[5]Cichocki,S I Amari.Adaptive Signal and ImageProcessing:Learning Algorithms and Applications[M].New York:Wiley,2002.
[6]赵天娇,何选森,陈利.基于新阈值函数小波变换的噪声盲分离算法[J].计算机应用研究,2010,27(8):2886-2 888.
[7]Jian Li,Changkui Cheng,Tianyan Jiang.Wavelet Denoisingof Partial Discharge Signals Based on Genetic AdaptiveThreshold Estimation[J].IEEE Transactions on Dielectricsand Electrical Insulation,2012,19(2):543-548.
[8]Chan-Cheng Liua,Tsung-Ying Sun.Heuristic waveletshrinkage for denoising[J].Applied Soft Computing,2011,11(4):256-264.
[9]Zhang H,Blackburn T R,Phung B T,et al.“A NovelWavelet Transform Technique for On-line Partial DischargeMeasurements.1.WT Denoising Algorithm”[J].IEEETrans.Dielectr.Electr.Insul.,2007,14(6):3-4.
[10]吴海洋,周仲礼,曾凡霞,等.盲小波算法在遥感图像去噪中的应用[J].软件,2012,33(1):9-11.
[11]Hwang W L.Singularity detection and processing withwavelets[J].IEEE Information Theory Society,1992,138(2):617-643.
[12]Cardoso J F,Antoine Souloumiac.Blind Beamformingfor Non-Gaussian Signals[J].IEEE Proceedings,1993,140(6):362-370.
[13]Cardoso J F.High-order for Independent ComponentAnalysis[J].Neural Computation,1999,37(1):157-192.
[14]Zbynek Koldovsky,Efficient Variant of AlgorithmFastICA for Independent Component Analysis Attainingthe Cramer-Rao Lower Bound[J].IEEE Transactions onneural networks,2006,17(5):1 265-1 276.
[15]张念,刘天佑,李杰.FastICA算法及其在地震信号去噪中的应用[J].计算机应用研究,2009,26(4):1432-1 434.
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