Page 23 - 《应用声学》2021年第5期
P. 23
第 40 卷 第 5 期 王坤等: 超声显微检测技术在电子封装中的应用与发展 667
tions on Advanced Packaging, 2006, 29(2): 271–283. tive Testing, 2007, 43(1): 62–68.
[37] Ruiz-Reyes N, Vera-Candeas P, Curpian-Alonso J. New [41] Zhang G M, Harvey D M, Braden D R. Signal denoising
matching pursuit-based algorithm for SNR improvement and ultrasonic flaw detection via overcomplete and sparse
in ultrasonic NDT[J]. NDT & E International, 2005, representations[J]. The Journal of the Acoustical Society
38(6): 453–458. of America, 2008, 124(5): 2963–2972.
[38] Zhang G M, Harvey D M, Braden D R. An improved [42] Qi A L, Ma H W, Liu T. A weak signal detection method
acoustic microimaging technique with learning overcom- based on artificial fish swarm optimized matching pur-
plete representation[J]. The Journal of the Acoustical So- suit[C]. World Congress on Computer Science & Informa-
ciety of America, 2005, 118(6): 3706–3720. tion Engineering. IEEE, 2009.
[39] Zhang G M, Harvey D M, Braden D R. Adaptive sparse [43] 周健鹏. 稀疏分解理论在超声无损检测信号处理中的应
representations of ultrasonic signals for acoustic mi- 用 [D]. 鞍山: 辽宁科技大学, 2016.
croimaging[J]. The Journal of the Acoustical Society of [44] Qi A L, Zhang G M, Dong M, et al. An artificial bee
America, 2006, 120(2): 862. colony optimization based matching pursuit approach for
[40] Yang G, Zhang Q, Que P W. Matching-pursuit-based ultrasonic echo estimation[J]. Ultrasonics, 2018, 88: 1–8.
adaptive wavelet-packet atomic decomposition applied in [45] 王建英, 尹忠科, 张春梅. 信号与图像的稀疏分解及初步应
ultrasonic inspection[J]. Russian Journal of Nondestruc- 用 [M]. 成都: 西南交通大学出版社, 2006.