Application of improved threshold denoising based on wavelet transform to ultrasonic signal processing

[1] 崔锦泰. 小波分析导论[M]. 西安:西安交通大学出版社, 1995 Cui Jintai. Conspectus of wavelet analysis[M]. Xi’an:Xi’an Jiaotong University Press, 1995(in Chinese) [2] Mallat S. A theory for multiresolution signal decomposition:the wavelet representation[J]. IEEE Trans Pattern Anal and Machine Intell, 1989, 11(7):647~693 [3] Gustafsson M G, Stepinski T. Split spectrum algorithms rely on instantaneous phase information—a geometrical approach[J]. IEEE Trans UFFC, 1993, 40(6):659~665 [4] 张广明. 超声无损检测中的时频分析理论及应用研究 . 西安:西安交通大学机械工程学院, 1999 Zhang Guangming. The theory and application research of time-frequency analysis in ultrasonic nondestructive evaluation . Xi’an:School of Mechanical Engineering, Xi’an Jiaotong University, 1999(in Chinese) [5] Mallat S, Hwang W L. Singularity detection and processing with wavelets[J]. IEEE Trans on Information Theory, 1992, 38(2):617~643 [6] 范 中. 利用子波变换检测瞬时信号[J]. 电子学报, 1996, 24(1):79~82 Fan Zhong. Detect instantaneous signals using wavelet transform[J]. Journal of Electron, 1996, 24(1):79~82(in Chinese) [7] Donoho D L, Johnstone I M. Ideal spatial adaption by wavelet shrinkage[J]. Biometrika, 1994, 81:425~455 [8] Donoho D L, Johnstone I M. Adapting to unknown smoothness via wavelet shrinkage[J]. Journal of the American Statistical Association, 1995, 90:1200~ 1224