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超声回波参数的高斯与牛顿迭代法计算 被引量:3

The calculation of ultrasonic echo parameter by Gauss-Newton iterative method
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摘要 应用超声回波模型,对检测目标的超声回波进行模拟,在模拟过程中应用高斯与牛顿法迭代出估计参数.结果表明,该算法能以较少的迭代次数计算出向量参数,但对模型中到达时间初值设定较为敏感,这可用常规方法(互相关或小波变换、遗传算法等)解决. The ultrasonic echo model is applied to simulate the ultrasonic echo of detection object and the Gauss-Newton iterative method is applied in the simulation process to estimate the parameters. The result shows that the algorithm can calculate the .vector parameter with few iterative times. The convergence of the algorithm is sensitive to the initial value of arrival time can be solved by some conventional methods, such as cross-correlation, wavelet transform and genetic algorithms.
出处 《陕西师范大学学报(自然科学版)》 CAS CSCD 北大核心 2006年第3期56-58,共3页 Journal of Shaanxi Normal University:Natural Science Edition
基金 陕西省教育厅专项科研基金资助项目(2004JK239)和(2004JK124)
关键词 超声回波模型 高斯与牛顿迭代法 超声检测 互相关 ultrasonic echo model Gauss-Newton iterative method ultrasonic testing cross-correlation
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  • 1杨丽锦.浅析蚁群算法的原理及应用方向[J].电脑知识与技术(过刊),2009,0(6):1455-1456. 被引量:4
  • 2胡小兵,袁锐,黄席樾,易继军.蚁群算法原理的仿真研究[J].计算机仿真,2004,21(8):125-128. 被引量:16
  • 3武良丹,贺西平,张小凤,胡景勤.高斯回波模型在超声回波模拟中的应用及其迭代算法的讨论[J].应用声学,2007,26(2):119-124. 被引量:3
  • 4Saniie J. Ultrasonic signal processing: system identifica- tion and parameter estimation of reverberant and inho- mogeneous targets [D]. Indiana: Electrical engineering of College of Engineering Purdue University, 1981.
  • 5Demirli R, Saniie J. Model-based estimation of ultrason- ic echoes, part I : analysis and algorithm[J]. IEEE Transactions. on Ultrasonics Ferroelectrics and Fre- quency Control, 2001, 48(3): 787-802.
  • 6Demirli R, Saniie J. An efficient sparse decomposition technique for ultrasonic signal analysis using envelope and instantaneous phase[J]. Proceedings of the IEEE International Ultrasonics Symposium, 2008, 36: 1503-1507.
  • 7Demirli R. Model based estimation of ultrasonic echoes: analysis, algorithms, and applications [D]. Chicago: Ⅱ- linois Institute of Technology Electrical and Computer engineering 2001.
  • 8Colorni A, Dorigo M, Maniezzo V, et al. Distributed optimization by ant colonies [J]. Proceedings of the 1st European Conference on Artificial Life, 1991, 98: 134-142.
  • 9Dorigo M, Maniezzo V, Colorni A. The ant system: Optimization by a colony of cooperating agents [J].IEEE Transactions on Systems, 1996, 26 ( 1 ) : 29-41.
  • 10武良丹,张小凤,贺西平.基于模拟退火算法的超声回波参数估计[J].应用声学,2007,26(5):313-317. 被引量:12

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