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采用交替投影算法重构超声信号 被引量:3

Ultrasonic signal reconstruction using alternating projection algorithm
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摘要 建立了超声探测缺陷回波的数学模型,讨论了信号奇异性同其小波变换之间的关系以及通过小波变换模极大值精确重构原信号的原理和方法,利用M a llat的交替投影算法对仿真的超声信号进行了精确重构和对实际检测到的超声信号进行了消噪处理。结果表明,利用小波变换模极大值重构信号的交替投影算法来重构超声信号,重构精度高,实现速度快,用于处理染噪信号,消噪效果好,是一种较为理想的处理超声信号的方法。 In the present paper,the mathematical model of ultrasonic detection flaw echoes was established, the relationship between signal singularity and its wavelet transform, and the principium and method for which the original signal is reconstructed accurately through wavelet transform modulus maxima were discussed. The simulated ultrasonic signal was reconstructed accurately and two ultrasonic signals which were detected in ultrasonic test were de-noised by using Mallat's alternating projection reconstruction algorithm. The test result showed that the algorithm given in this paper leads to a high precision for the reconstruction, a quick speed for the performing speed a good effect for the de-noising. So it was a perfect method of dealing with ultrasonic signal.
作者 李书 陈益
出处 《振动工程学报》 EI CSCD 北大核心 2006年第2期206-211,共6页 Journal of Vibration Engineering
基金 凡舟科研基金资助
关键词 小波变换 模极大值 超声信号 交替投影算法 奇异性 wavelet transform modulus maxima ultrasonic signal alternating projection reconstruction algorithm singularity
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  • 1崔锦泰 程正兴(译).小波分析导论[M].西安:西安交通大学出版社,1995..
  • 2Logan B. Information in the zero-crossings of band pass signals[J]. Bell System Tech J. , 1977, (56): 510.
  • 3Curtis S, Oppenheim A. Reconstruction of multidimensional signals from zero-crossings[J]. J Opt Soc Amer, 1987, (4) :221.
  • 4Zeevi Y Y,Rotem D. Image reconstruction from zerocrossings[J]. IEEE Trans ASSP, 1986, (34) : 1 269.
  • 5Sanz J, Huang T. Image representation by sign information[J]. IEEE Trans PAMI, 1992, ( 11 ) : 729.
  • 6Mallat S. Zero-crossings of a wavelet transform[J].IEEE Trans Information Theory, 1991,37(4) : 1 019-1 033.
  • 7Mallat S, Zhang S. Characterization of signal from multiscale edges [J]. IEEE Trans Pattern Analysis and Machine Intelligence, 1992,14 (7) : 710-732.
  • 8刘贵忠,张志明,冯牧,张珂.Iterative shaping reconstruction algorithm based on the modulus maxima of signals' dyadic wavelet transform[J].Progress in Natural Science:Materials International,2000,10(8):68-72. 被引量:2
  • 9Cvetkovic Z, Vetterli M. Discrete-time wavelet extreme representation : Design and consistent reconstruction [J]. IEEE Trans Signal Processing,1995,43(3) :681-693.
  • 10Berman Z,Baras J. Properties of the multiscale maxima and zero-crossing representation[J]. IEEE Trans SP,1993,41(12) :3 216.

共引文献324

同被引文献25

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  • 2Ding F and Chen T W. Gradient Based Iterative Algorithms for Solving a Class of Matrix Equations[J]. IEEE Transactions on Automatic Control, 2005, 50: 1216-1221.
  • 3Jbilou K, Messaoudi A and Sadok H. Global FOM and GMRES algorithms for matrix equations[J]. Applied Numerical Mathematics, 1999, 31: 49-63.
  • 4Lin T Q.Implicitly restarted global FOM and GMRES for nonsymmetric matrix equations and Sylvester equations[J]. Applied Mathematics and Computation, 2005, 167: 1004-1025.
  • 5Peng Y X, Hu X Y and Zhang L. An iteration method for the symmetric solutions and the optimal approximation solution of the matrix equation AXB = C[J]. Applied Mathematics and Computation, 2005, 160: 763-777.
  • 6Salkuyeh D K. CG-type algorithms to solve symmetric matrix equations[J]. Applied Mathematics and Computation, 2006, 172: 985-999.
  • 7Lei Y and Liao A P. A minimal residual algorithm for the inconsistent matrix equation AX B = C over symmetric matrices[J]. Applied Mathematics and Computation, 2007, 188: 499-513.
  • 8Li J F, Hu X Y, Duan X F and Zhang L. Numerical solutions of AX B = C for mirror symmetric matrix X under a specified submatrix constraint[J]. Computing, 2010, 90: 39-56.
  • 9Toutounian F and Karimi S. Global least squares method (GI-LSQR) for solving general linear systems with several right-hand sides[J]. Applied Mathematics and Computation, 2006, 178: 452- 460.
  • 10Peng Z Y. A matrix LSQR iterative method to solve matrix equation AXB = C[J]. International Journal of Computer Mathematics, 2010, 87: 1820-1830.

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