基于三维地震数据的并行希尔伯特黄变换算法研究
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摘要
为了对地震属性原始剖面中的细微构造特征或岩性界面进行较好的分辨和验证,一种改进的希尔伯特黄变换算法被采用。该方法首先对信号进行经验模态分解,对分解分量进行希尔伯特频谱分析。采用了最新的图形处理器(graphical processing unit,GPU)技术,将数据转换到GPU上进行并行处理,极大地提高了处理速度。实验结果表明,与基于CPU的方法相比,该方法计算速度提高了4倍左右。
In order to distinguish and validate the characteristic of original seismic profile or interface of lithology,an improved Hilbert-Huang arithmetic is presented.The signal is decomposed into a finite set of empirical mode component,and then Hilbert spectrum for decomposed component is analyzed.GPU is used for the parallel processing of massive seismic data.The processing speed is improved greatly.Four sets of seismic data are applied for the testing of our method,the experimental results show GPU-based method is about 4 times faster than CPU-based method.
In order to distinguish and validate the characteristic of original seismic profile or interface of lithology,an improved Hilbert-Huang arithmetic is presented.The signal is decomposed into a finite set of empirical mode component,and then Hilbert spectrum for decomposed component is analyzed.GPU is used for the parallel processing of massive seismic data.The processing speed is improved greatly.Four sets of seismic data are applied for the testing of our method,the experimental results show GPU-based method is about 4 times faster than CPU-based method.
引文
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[3]Fethi Smach,Cedric Lematre,Jean Paul Gauthier,et al.General-ized fourier descriptors with applications to objects recognition inSVM context[J].Journal of Mathematical Imaging and Vision,2008,30(1):3-5.
[4]CHUANG Zhitao,LIU Youming.Wavelets with differential re-lation[J].Acta Mathematica Sinica-english Series,2011,27(5):1011-1022.
[5]LI Jianping,TANG Yuanyan,YAN Zhonghong,et al.Uni-form analytic construction of wavelet analysis filters based onsine and cosine trigonometric functions[J].Applied Mathema-tics and Mechanics,2001,22(5):1-5.
[6]Seng Kah Phooi,Ang L M.New radial basis function neuralnetwork training for nonlinear and nonstationary signals[G].LNCS4456:Computational Intelligence and Security,2007:1-5.
[7]Khalid Koufany.Application of Hilbert’s projective metric on sym-metric cones[J].Acta Mathematica Sinica,2006,22(5):1-5.
[8]Taras Banakh,Igor Zarichnyy.Topological groups and convexsets homeomorphic to non-separable Hilbert spaces[J].Cen-tral European Journal of Mathematics,2008,6(1):1-5.
[9]ZHU Zheng,WANG Yilin,CAI Ping.Real-time implementa-tion of vector Hilbert-Huang transform[C].InternationalWorkshop on Intelligent Networks and Intelligent Systems,2010:213-216.
[10]Pulung Waskito,Shinobu Miwa,Yasue Mitsukura,et al.Parallelizing Hilbert-Huang transform on a GPU[C].Interna-tional Conference on Natural Computation,2010:184-190.
[11]PANG Waiman,QIN Jing,LU Yuqiang,et al.Acceleratingsimultaneous algebraic reconstruction technique with motioncompensation using CUDA-enabled GPU[J].InternationalJournal of Computer Assisted Radiology and Surgery,2011,6(2):187-199.
[12]Elena Martinova.Realistic skin rendering on GPU[J].Intel-ligent Computer Graphics,2009,240:1-18.
[13]XIE K,WU P,YANG S.GPU and CPU cooperation parallelvisualisation for large seismic data[J].Electronics Letters,2010,46(17):1196-1197.
[14]NVIDIA CUDA C Programming Guide Version 4.0[S].2011.
[15]CHE Shuai.A performance study of general-purpose applica-tions on graphics processors using CUDA[J].Journal paralleland Distributed Computing,2008:1-5.
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