[1] ZHONG Guo-sheng,LI Jiang,ZHAO Kui. Structural safety criteria for blasting vibration based on wavelet packet energy spectra[J]. International Journal of Mining Science and Technology,2011,21(1):35–40.
[2] 张胜,凌同华,刘浩然,等. 模式自适应小波时能密度法及其在微差爆破震动信号分析中的应用[J]. 煤炭学报,2014,39(10):2007–2013.
ZHANG Sheng,LING Tong-hua,LIU Hao-ran,et al. Pattern adapted wavelet time-energy density method and its application in millisecond blast vibration signal analysis[J]. Journal of China Coal Society,2014,39(10):2007–2013.
[3] 李夕兵,凌同华. 单段与多段微差爆破地震的反应谱特征分析[J]. 岩石力学与工程学报, 2005,24(14):2409–2413.
LI Xi-bing, LING Tong-hua, Response spectrum analysis of ground vibration induced by single deck and multi-deck blasting[J]. Chinese Journal of Rock Mechanics and Engineering,2005,24(14):2409–2413.
[4] 朱权洁,姜福兴,于正兴,等. 爆破震动与岩石破裂微震信号能量分布特征研究[J]. 岩石力学与工程学报,2012,31(4):723–730.
ZHU Quan-jie,JIANG Fu-xing,YU Zheng-xing,et al. Study on energy distribution characters about blasting vibration and rock fracture microseismic signal[J]. Chinese Journal of Rock Mechanics and Engineering,2012,31(4):723–730.
[5] LING Tong-hua,ZHANG Sheng,CHEN Qian-qian,et al. Wavelet basis construction method based on separation blast vibration signal[J]. Journal of Central South University,2015,22(7):2809–2815.
[6] 单仁亮, 白瑶, 宋永威,等. 冻结立井模型爆破振动信号的小波包分析[J]. 煤炭学报, 2016, 41(8):1923-1932.
SHAN Ren-liang, BAI Yao, SONG Yong-wei,et al. Wavelet packet analysis of blast vibration signals of freezing shaft model[J]. JOURNAL OF CHINA COAL SOCIETY, 2016, 41(8): 1923-1932.
[7] 凌同华,张胜,陈倩倩,等. 模式自适应小波构造与添加及其在爆破振动信号分析中的应用[J]. 振动与冲击,2014,33(12):53–57+120.
LING Tong-hua,ZHANG Sheng,CHEN Qian-qian,et al. Pattern adapted wavelet construction and addition and its application in blast vibration signal analysis[J]. Journal of Vibration and Shock,2014,33(12):53–57+120.
[8] 粟涓,董新汉. 双正交小波滤波器簇代数结构及构造[J]. 数学年刊A辑(中文版),2014,35A(04):451–462.
SU Juan,DONG Xin-han. Algebraic structure and construction of bi-orthogonal filter banks [J]. Chinese Annals of Mathematics,Series A,2014,(04):451–462.
[9] 成礼智,王红霞,罗永. 小波的理论与应用[M]. 北京:科学出版社,2004:103–131.
CHENG Li-zhi,WANG Hong-xia, LUO Yong. Wavelet theory and its applications[M]. Beijing:CSPM,2004:103–131.
[10] COHEN A,DAUBECHIES I,FEAUVEAU J C. Biorthogonal bases of compactly supported wavelets[J]. Communications on Pure and Applied Mathematics,1992,41(5):909–996.
[11] 成谢锋,张正. 一种双正交心音小波的构造方法[J]. 物理学报,2013,62(16):168701-168701.
CHENG Xie-feng,ZHANG Zheng. A construction method of biorthogonal heart sound wavelet[J]. ACTA Physica Sinica,2013,62(16):168701-168701.
[12] TAY D B H,KINGSBURY N G. Flexible design of multidimensional perfect reconstruction FIR 2-band filters using transformations of variables[J]. IEEE Transactions on Image Processing A Publication of the IEEE Signal Processing Society,1993,2(4):466–480.
[13] 陈勇,王国秋. 4-带紧支对称小波框架的构造[J]. 系统科学与数学,2014,34(6):718–723.
CHEN Yong,WANG Guo-qiu. Construction of 4-band compactly supported symmetric wavelet frame[J]. J. Sys. Sci. & Math. Scis.,2014,34(6):718–723.
[14] TAY D B H. Rationalizing the coefficients of popular biorthogonal wavelet filters[J]. IEEE Transactions on Circuits & Systems for Video Technology,2000,10(6):998–1005.
[15] 牟力, 陈召曦. 重力资料多尺度分析最优小波基的选择[J]. 物探与化探, 2015, 39(5):1013-1019.
Mou Li, Chen Zhao-xi. The optimal choice of wavelet bases in gravity data multi-scale analysis[J]. Geophysical and Geochemical Exploration, 2015, 39( 5): 1013–1019
[16] LIBAL U,SPYRA K. Wavelet based shock wave and muzzle blast classification for different supersonic projectiles[J]. Expert Systems with Applications,2014,41(11):5097–5104.
[17] 张华,陈小宏,杨海燕. 地震信号去噪的最优小波基选取方法[J]. 石油地球物理勘探,2011,46(1):70–75.
ZHANG Hua,CHEN Xiao-hong,YANG Hai-yan. Optimistic wavelet basis selection in seismic signal noise elimination[J]. OGP,2011,46(1):70–75.
[18] Xu H, Sun S Z, Gui Z,et al. Detection of sub-seismic fault footprint from signal-to-noise ratio based on wavelet modulus maximum in the tight reservoir[J]. Journal of Applied Geophysics,2015,114(4):259-262.
[19] ZHENG Zu-duo,WASHINGTON S. On selecting an optimal wavelet for detecting singularities in traffic and vehicular data[J]. Transportation Research Part C Emerging Technologies,2012,25(8):18–33.