[1] [1] MA Bao-quan, ZHOU Zheng-gan. Progress and development trends of composite structure evaluation using noncontact nondestructive testing techniques in aviation and aerospace industries[J]. Acta Aeronautica et Astronautica Sinica, 2014, 35(7): 1787-1803.

[2] [2] BALASK M, SVB E, MOLNR G, et al. Classification of defects in honeycomb composite structure of helicopter rotor blades[J].Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, 2005, 542(1): 45-51.

[3] [3] ZHU Xin-jun, DENG Yao-hui, TANG Chen, et al. Variational mode decomposition for phase retrieval in fringe projection 3D shape measurement[J]. Optics and Precision Engineering, 2016, 24(9): 2318-2324.

[4] [4] XIONG Liu-dong, JIA Shu-hai, DU Yan-fen. Anovel algorithm for phase retrieval from a single carrier-frequency fringe pattern[J].Acta Optica Sinica, 2010,30(1): 123-126.

[5] [5] GUO Yuan, MAO Qi, CHENG Xiao-tian, et al. Applied research of dual-wavelength shearography for flaw detection of composite material[J].Acta Photonica Sinica, 2015, 44(3): 0312001.

[6] [6] LI Xiang-yu, HUANG Zhan-hua, ZHANG Hao, et al. Phase analysis method based on Hilbert transform in dynamic speckle pattern interferometry[J]. Journal of Optoelectronics & Laser, 2015(6): 1111-1117.

[7] [7] SUN Hai-bin, SUN Ping. Out-of-planedisplacement measurement using optical vortex Phase Shifting[J]. Acta Photonica Sinica, 2016, 45(11): 1112001.

[8] [8] ZHU Meng, LI Xiang-Yu, HUANAG Zhan-hua, et al. Dynamic deformation measurement using speckle shearography with carrier frequency generated by double-aperture[J]. Optics and Precision Engineering, 2013, 21(7): 1701-1706.

[9] [9] ZUO C, CHEN Q, GU G, et al. High-speed three-dimensional profilometry for multiple objects with complex shapes[J]. Optics Express, 2012, 20(17): 19493-19510.

[10] [10] ZUO C, SUN J, CHEN Q. Adaptive step-size strategy for noise-robust Fourier ptychographic microscopy[J]. Optics Express, 2016, 24(18): 20724-20744.

[11] [11] ZHOU X, YANG T, ZOU H, et al. Multivariate empirical mode decomposition approach for adaptive denoising of fringe patterns[J]. Optics Letters, 2012, 37(11): 1904-1906.

[12] [12] SUN J D, XIAO Q Y, WEN J T, et al. Natural gas pipeline leak aperture identification and location based on local mean decomposition analysis[J]. Measurement, 2016, 79: 147-157.

[13] [13] BEGUM D, SARP E. Empirical mode decomposition of hyper spectral images for support vector machine classification[J]. IEEE Transactions on Geoscience and Remote Sensing, 2010, 48(11): 4071-4084

[14] [14] XIAQ Q Y, LI J, BAI I L, et al. A small leak detection method based on VMD adaptive do-noising and ambiguity correlation classification intended for natural gas pipelines[J]. Sensors, 2016, 16(12): 1-16.

[15] [15] GILLES J. Empirical wavelet transofmr[J]. IEEE Transactions on Signal Processing, 2013, 61(16): 3999-4010.

[16] [16] KUMAR R, SAINI I. Empirical wavelet transforms based ECG signal compression[J]. IETE Journal of Research, 2014, 60(6): 423-431.

[17] [17] LI Zhi-nong, ZHU Ming, CHU Fu-lei, et al. Mechanical fault diagnosis method based on empirical wavelet transform[J]. Chinese Journal of Scientific Instrument, 2014, 35(11): 2423-2432.

[18] [18] NGUYEN P, KANG M, KIM J M, et al. Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques[J]. Expert Systems with Applications, 2015, 42(22): 9024-9032.

[19] [19] TRUSIAK M, PATORSKI K, WIELGUS M. Adaptive enhancement of optical fringe patterns by selective reconstruction using FABEMD algorithm and Hilbert spiral transform[J]. Optics Express, 2012, 20(21): 23463-23479.