Reconstruction of Lamb wave dispersion curves by sparse representation with continuity constraints.
暂无分享,去创建一个
José M. F. Moura | Ming Li | Yuanwei Jin | Wenbo Zhao | Joel B Harley | Jimmy Zhu | José M F Moura | Ming Li | J. Harley | Yuanwei Jin | Wenbo Zhao | Jimmy Zhu
[1] Stan E Dosso,et al. Maximum-likelihood and other processors for incoherent and coherent matched-field localization. , 2012, The Journal of the Acoustical Society of America.
[2] Tadeusz Uhl,et al. Generalized semi-analytical finite difference method for dispersion curves calculation and numerical dispersion analysis for Lamb waves. , 2014, The Journal of the Acoustical Society of America.
[3] Adrian Corduneanu,et al. Variational Bayesian Model Selection for Mixture Distributions , 2001 .
[4] Liwei Tang,et al. 2-D defect profile reconstruction from ultrasonic guided wave signals based on QGA-kernelized ELM , 2014, Neurocomputing.
[5] Mário A. T. Figueiredo,et al. Gradient Projection for Sparse Reconstruction: Application to Compressed Sensing and Other Inverse Problems , 2007, IEEE Journal of Selected Topics in Signal Processing.
[6] Joel B. Harley,et al. Matched field processing localization with random sensor topologies , 2014, 2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[7] Carlos E. S. Cesnik,et al. Guided-wave signal processing using chirplet matching pursuits and mode correlation for structural health monitoring , 2006, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.
[8] Joel A. Tropp,et al. Just relax: convex programming methods for identifying sparse signals in noise , 2006, IEEE Transactions on Information Theory.
[9] Paul D. McNicholas,et al. Variational Bayes approximations for clustering via mixtures of normal inverse Gaussian distributions , 2013, Advances in Data Analysis and Classification.
[10] Keith Worden,et al. A numerically-enhanced machine learning approach to damage diagnosis using a Lamb wave sensing network , 2014 .
[11] Arthur B. Baggeroer,et al. An overview of matched field methods in ocean acoustics , 1993 .
[12] Y. C. Pati,et al. Orthogonal matching pursuit: recursive function approximation with applications to wavelet decomposition , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.
[13] Fabian Bause,et al. On the computation of dispersion curves for axisymmetric elastic waveguides using the Scaled Boundary Finite Element Method , 2014 .
[14] Holger Rauhut,et al. Random Sampling of Sparse Trigonometric Polynomials, II. Orthogonal Matching Pursuit versus Basis Pursuit , 2008, Found. Comput. Math..
[15] R. K. Singh,et al. Numerical Analysis of Lamb Wave Propagation in Delaminated Composite Laminate , 2012 .
[16] Lingyu Yu,et al. Lamb wave frequency–wavenumber analysis and decomposition , 2014 .
[17] Hauke Gravenkamp,et al. Numerical modeling of elastic waveguides coupled to infinite fluid media using exact boundary conditions , 2014 .
[18] Zhonghua Shen,et al. Inversion of Functional Graded Materials Elastic Properties from Ultrasonic Lamb Wave Phase Velocity Data Using Genetic Algorithm , 2013 .
[19] José M. F. Moura,et al. Sparse recovery of the multimodal and dispersive characteristics of Lamb waves. , 2013, The Journal of the Acoustical Society of America.
[20] Chuanzeng Zhang,et al. Numerical modeling of wave propagation in functionally graded materials using time-domain spectral Chebyshev elements , 2014, J. Comput. Phys..
[21] J D Tippmann,et al. Application of damage detection methods using passive reconstruction of impulse response functions , 2015, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[22] Bruno Rocha,et al. Effects of composite lamina properties on fundamental Lamb wave mode dispersion characteristics , 2015 .
[23] Michael D. Gilchrist,et al. Attenuation of ultrasonic Rayleigh-Lamb waves by small horizontal defects in thin aluminium plates , 1999 .
[24] Yonina C. Eldar,et al. Introduction to Compressed Sensing , 2022 .
[25] Yanping Wang,et al. Parameters estimation using a random linear array and compressed sensing , 2010, 2010 3rd International Congress on Image and Signal Processing.
[26] Joel B. Harley,et al. A robust baseline removal method for guided wave damage localization , 2014, Smart Structures.
[27] Dmitry M. Malioutov,et al. Homotopy continuation for sparse signal representation , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[28] Jan Drewes Achenbach. HARMONIC WAVES IN WAVEGUIDES , 1973 .
[29] Irwin Sobel,et al. An Isotropic 3×3 image gradient operator , 1990 .
[30] Joel A. Tropp,et al. Signal Recovery From Random Measurements Via Orthogonal Matching Pursuit , 2007, IEEE Transactions on Information Theory.
[31] Mira Mitra,et al. Lamb wave based automatic damage detection using matching pursuit and machine learning , 2014 .
[32] B. Sorazu,et al. Obtaining complementary Lamb wave dispersion information by two signal processing methods on an all-optical non-contact configuration , 2014 .
[33] José M. F. Moura,et al. Data-driven matched field processing for Lamb wave structural health monitoring. , 2014, The Journal of the Acoustical Society of America.
[34] Joel B Harley,et al. Dispersion curve recovery with orthogonal matching pursuit. , 2015, The Journal of the Acoustical Society of America.
[35] E.J. Candes,et al. An Introduction To Compressive Sampling , 2008, IEEE Signal Processing Magazine.
[36] Tadeusz Uhl,et al. Identification of material properties – efficient modelling approach based on guided wave propagation and spatial multiple signal classification , 2015 .
[37] Mira Mitra,et al. Lamb wave based damage detection using Matching Pursuit and Support Vector Machine classifier , 2014, Smart Structures.
[38] Mircea Găvan,et al. Extraction of dispersion curves for waves propagating in free complex waveguides by standard finite element codes. , 2011, Ultrasonics.
[39] Joel B. Harley,et al. Accurate sparse recovery of guided wave characteristics for structural health monitoring , 2012, 2012 IEEE International Ultrasonics Symposium.
[40] Marcias J Martinez,et al. Derivation and experimental validation of Lamb wave equations for an n-layered anisotropic composite laminate , 2014 .
[41] Kunde Yang,et al. Matched field processing in a mismatch and multi-source environment , 2005, Proceedings of OCEANS 2005 MTS/IEEE.
[42] Albert Wang,et al. The In-Crowd Algorithm for Fast Basis Pursuit Denoising , 2011, IEEE Transactions on Signal Processing.
[43] Jean-Jacques Fuchs,et al. Recovery of exact sparse representations in the presence of bounded noise , 2005, IEEE Transactions on Information Theory.
[44] Jared Tanner,et al. Explorer Compressed Sensing : How Sharp Is the Restricted Isometry Property ? , 2011 .
[45] Bala Rajaratnam,et al. Lasso Regression: Estimation and Shrinkage via Limit of Gibbs Sampling , 2014, 1401.2480.
[46] J. Rose,et al. Guided wave dispersion curves for a bar with an arbitrary cross-section, a rod and rail example. , 2003, Ultrasonics.
[47] Christ Glorieux,et al. Laser ultrasonic study of Lamb waves: determination of the thickness and velocities of a thin plate , 2003 .
[48] Neil D. Lawrence,et al. Optimising Kernel Parameters and Regularisation Coefficients for Non-linear Discriminant Analysis , 2006, J. Mach. Learn. Res..
[49] Joel B. Harley,et al. Coherent, data-driven Lamb wave localization under environmental variations , 2015 .
[50] James H. Garrett,et al. Robust change detection in highly dynamic guided wave signals with singular value decomposition , 2012, 2012 IEEE International Ultrasonics Symposium.
[51] Emmanuel Bossy,et al. Numerical Methods for Ultrasonic Bone Characterization , 2011 .
[52] Renaldas Raisutis,et al. Validation of Dispersion Curve Reconstruction Techniques for the A0 and S0 Modes of Lamb Waves , 2014 .