Ten Lectures on Wavelets

Methodologies for model-free data interpretation of civil engineering structures

Posenato, D., Kripakaran, P., Inaudi, D., & Smith, I. F. C. (2010) · Computers & Structures · doi:10.1016/j.compstruc.2010.01.001 · Cited by 131

Design of near perfect reconstruction oversampled filter banks for subband adaptive filters

Harteneck, M., Weiss, S., & Stewart, R. W. (1999) · IEEE Transactions on Circuits and Systems II Analog and Digital Signal Processing · doi:10.1109/82.782056 · Cited by 131

Multipath analysis of code measurements for BeiDou geostationary satellites

Wang, G., de Jong, K., Zhao, Q., Hu, Z., & Guo, J. (2014) · GPS Solutions · doi:10.1007/s10291-014-0374-8 · Cited by 130

A novel approach to the 2-D blind deconvolution problem in medical ultrasound

Michailovich, O., & Adam, D. (2005) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2004.838326 · Cited by 130

On-line fault diagnosis for proton exchange membrane fuel cells based on a fast electrochemical impedance spectroscopy measurement

Lu, H., Chen, J., Yan, C., & Liu, H. (2019) · Journal of Power Sources · doi:10.1016/j.jpowsour.2019.05.028 · Cited by 130

Stability of g-frames

Sun, W. (2006) · Journal of Mathematical Analysis and Applications · doi:10.1016/j.jmaa.2006.03.043 · Cited by 130

An Introduction to Wavelet Transform Tidal Analysis Methods

Flinchem, E. P., & Jay, D. A. (2000) · Estuarine Coastal and Shelf Science · doi:10.1006/ecss.2000.0586 · Cited by 130

Wavelets and statistical analysis of functional magnetic resonance images of the human brain

Bullmore, E. T., Fadili, J. M., Breakspear, M. J., Salvador, R. M., John Suckling, A., & Brammer, M. J. (2003) · Statistical Methods in Medical Research · doi:10.1191/0962280203sm339ra · Cited by 130

GPR signal de-noising by discrete wavelet transform

Baili, J., Lahouar, S., Hergli, M., Al‐Qadi, I. L., & Besbes, K. (2009) · NDT & E International · doi:10.1016/j.ndteint.2009.06.003 · Cited by 129

Multiresolution wavelet analysis of earthquakes

Telesca, L., Lapenna, V., & Alexis, N. G. (2004) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2004.02.021 · Cited by 129

Wavelet analysis of near-field pressure fluctuations generated by a subsonic jet

Grizzi, S., & Camussi, R. (2012) · Journal of Fluid Mechanics · doi:10.1017/jfm.2012.64 · Cited by 129

Reactive power measurement using the wavelet transform

Yoon, W.-K., & Devaney, M. J. (2000) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/19.843057 · Cited by 129

Using the Concept of Chous Pseudo Amino Acid Composition to Predict Enzyme Family Classes: An Approach with Support Vector Machine Based on Discrete Wavelet Transform

Qiu, J., Huang, J., Shi, S., & Liang, R. (2010) · Protein and Peptide Letters · doi:10.2174/092986610791190372 · Cited by 128

Searching for exoplanets using artificial intelligence

Pearson, K. A., Palafox, L. F., & Griffith, C. A. (2017) · Monthly Notices of the Royal Astronomical Society · doi:10.1093/mnras/stx2761 · Cited by 135

Theory, implementation and applications of nonstationary Gabor frames

Balázs, P., Dörfler, M., Jaillet, F., Holighaus, N., & Velasco, G. A. (2011) · Journal of Computational and Applied Mathematics · doi:10.1016/j.cam.2011.09.011 · Cited by 128

Spatially adaptive wavelet-based multiscale image restoration

Banham, M. R., & Katsaggelos, A. K. (1996) · IEEE Transactions on Image Processing · doi:10.1109/83.491338 · Cited by 128

Wavelets, subband coding, and best bases

Ramchandran, K., Vetterli, M., & Herley, C. (1996) · Proceedings of the IEEE · doi:10.1109/5.488699 · Cited by 128

Wavelet-based system identification for nonlinear control

Sureshbabu, N., & Farrell, J. A. (1999) · IEEE Transactions on Automatic Control · doi:10.1109/9.746278 · Cited by 128

Besov regularity for elliptic boundary value problems

Dahlke, S., & DeVore, R. (1997) · Communications in Partial Differential Equations · doi:10.1080/03605309708821252 · Cited by 128

Evidence for Scale-Scale Correlations in the Cosmic Microwave Background Radiation

Pando, J., Valls-Gabaud, D., & Fang, L. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.4568 · Cited by 128

Wind Power Forecasting Using Neural Network Ensembles With Feature Selection

Song, L., Wang, P., & Goel, L. (2015) · IEEE Transactions on Sustainable Energy · doi:10.1109/tste.2015.2441747 · Cited by 127

An Evaluation of Cardiorespiratory and Movement Features With Respect to Sleep-Stage Classification

Willemen, T., Deun, D. V., Verhaert, V., Vandekerckhove, M. M. P., Exadaktylos, V., Verbraecken, J. A., Huffel, S. V., Haex, B., & Sloten, J. V. (2013) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2013.2276083 · Cited by 131

Image Processing Handbook, Fourth Edition

Russ, J. C. (2002) · Cited by 127

Wavelet methods for PDEs — some recent developments

Dahmen, W. (2001) · Journal of Computational and Applied Mathematics · doi:10.1016/s0377-0427(00)00511-2 · Cited by 127

Moving least-square reproducing kernel method Part II: Fourier analysis

Li, S., & Liu, W. K. (1996) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/s0045-7825(96)01082-1 · Cited by 127

Time–frequency and time–scale analyses for structural health monitoring

Staszewski, W. J., & Robertson, A. N. (2006) · Philosophical Transactions of the Royal Society A Mathematical Physical and Engineering Sciences · doi:10.1098/rsta.2006.1936 · Cited by 127

Cortical network dynamics with time delays reveals functional connectivity in the resting brain

Ghosh, A., Rho, Y.-A., McIntosh, A. R., Kötter, R., & Jirsa, V. (2008) · Cognitive Neurodynamics · doi:10.1007/s11571-008-9044-2 · Cited by 130

Wavelets in Recognition of Bird Sounds

Selin, A., Turunen, J., & Tanttu, J. T. (2006) · EURASIP Journal on Advances in Signal Processing · doi:10.1155/2007/51806 · Cited by 126

Three Dimensional Data-Driven Multi Scale Atomic Representation of Optical Coherence Tomography

Kafieh, R., Rabbani, H., & Selesnick, I. (2014) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2014.2374354 · Cited by 127

Single-channel EEG sleep stage classification based on a streamlined set of statistical features in wavelet domain

da Silveira, T. L. T., Kozakevicius, A. D. J., & Rodrigues, C. R. (2016) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-016-1519-4 · Cited by 126

Wavelet correlation signatures for color texture characterization

van de Wouwer, G., Scheunders, P., Livens, S., & Dyck, D. V. (1999) · Pattern Recognition · doi:10.1016/s0031-3203(98)00035-1 · Cited by 126

Frames, Riesz bases, and discrete Gabor/wavelet expansions

Christensen, O. (2001) · Bulletin of the American Mathematical Society · doi:10.1090/s0273-0979-01-00903-x · Cited by 126

Orthogonal Time–Frequency Signaling Over Doubly Dispersive Channels

Liu, K., Kadous, T. A., & Sayeed, A. M. (2004) · IEEE Transactions on Information Theory · doi:10.1109/tit.2004.836931 · Cited by 126

The Multifractal Structure of Contrast Changes in Natural Images: From Sharp Edges to Textures

Turiel, A., & Parga, N. (2000) · Neural Computation · doi:10.1162/089976600300015583 · Cited by 126

Formalization and computational aspects of image analysis

Álvarez, L., & Morel, J. (1994) · Acta Numerica · doi:10.1017/s0962492900002415 · Cited by 126

Assessment of spectral representation and Karhunen–Loève expansion methods for the simulation of Gaussian stochastic fields

Stefanou, G., & Papadrakakis, M. (2007) · Computer Methods in Applied Mechanics and Engineering · doi:10.1016/j.cma.2007.01.009 · Cited by 125

Survey on blind image forgery detection

Qazi, T., Khizar Hayat, A., Khan, S. U., Madani, S. A., Khan, I. A., Kołodziej, J., Li, H., Lin, W., Yow, K., & Xu, C. (2013) · IET Image Processing · doi:10.1049/iet-ipr.2012.0388 · Cited by 125

Multifractality Tests Using Bootstrapped Wavelet Leaders

Wendt, H., & Abry, P. (2007) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2007.896269 · Cited by 125

Integration Methods for Molecular Dynamics

Leimkuhler, B., Reich, S., & Skeel, R. D. (1996) · The IMA volumes in mathematics and its applications · doi:10.1007/978-1-4612-4066-2_10 · Cited by 125

Application of Imaging Techniques to Geometry Analysis of Aggregate Particles

Chandan, C., Sivakumar, K., Masad, E. A., & Fletcher, T. (2003) · Journal of Computing in Civil Engineering · doi:10.1061/(asce)0887-3801(2004)18:1(75 · Cited by 125

Rolling element bearing defect diagnosis under variable speed operation through angle synchronous averaging of wavelet de-noised estimate

Mishra, C., Samantaray, A. K., & Chakraborty, G. (2015) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2015.10.019 · Cited by 124

Unconventional methods of imaging: computational microscopy and compact implementations

McLeod, E. J., & Özcan, A. (2016) · Reports on Progress in Physics · doi:10.1088/0034-4885/79/7/076001 · Cited by 124

Density, overcompleteness, and localization of frames

Balan, R. V., Casazza, P. G., Heil, C., & Landau, Z. A. (2006) · Electronic Research Announcements of the American Mathematical Society · doi:10.1090/s1079-6762-06-00163-6 · Cited by 124

Multi-resolution multi-scale topology optimization — a new paradigm

Kim, Y. Y., & Yoon, G. H. (2000) · International Journal of Solids and Structures · doi:10.1016/s0020-7683(99)00251-6 · Cited by 124

The Zak transform and sampling theorems for wavelet subspaces

Janssen, A. J. E. M. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258079 · Cited by 124

Rotation-invariant pattern matching using wavelet decomposition

Tsai, D., & Chiang, C.-H. (2002) · Pattern Recognition Letters · doi:10.1016/s0167-8655(01)00099-x · Cited by 124

A fuzzy-expert system for classifying power quality disturbances

Liao, Y., & Lee, J.-B. (2003) · International Journal of Electrical Power & Energy Systems · doi:10.1016/j.ijepes.2003.10.012 · Cited by 124

On Sampling of Band-Limited Signals Associated With the Linear Canonical Transform

Tao, R., Li, B., Wang, Y., & Aggrey, G. (2008) · IEEE Transactions on Signal Processing · doi:10.1109/tsp.2008.929333 · Cited by 124

Space-frequency localized basis function networks for nonlinear system estimation and control

Cannon, M., & Slotine, J.-J. E. (1995) · Neurocomputing · doi:10.1016/0925-2312(95)00036-1 · Cited by 124

A non-instrusive, wavelet-based approach to detecting network performance problems

Polly Huang, B., Feldmann, A., & Willinger, W. (2001) · ACM SIGCOMM Internet Measurement Workshop (IMW) · doi:10.1145/505202.505229 · Cited by 124

Crack detection in simply supported beams without baseline modal parameters by stationary wavelet transform

Shuncong Zhong, A., & Oyadiji, S. O. (2007) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2006.07.007 · Cited by 123

Legendre wavelets method for solving fractional partial differential equations with Dirichlet boundary conditions

Heydari, M., Hooshmandasl, M. R., & Mohammadi, F. (2014) · Applied Mathematics and Computation · doi:10.1016/j.amc.2014.02.047 · Cited by 123

Approximation Order Provided by Refinable Function Vectors

Plonka, G. (1997) · Constructive Approximation · doi:10.1007/bf02678465 · Cited by 123

Wavelets and multiresolution analysis: Nature of ε(∞) Cantorian space–time

Iovane, G., & Giordano, P. (2006) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2005.11.097 · Cited by 123

Shear-wave splitting measurements — Problems and solutions

Vecsey, L., Plomerová, J., & Babuška, V. (2008) · Tectonophysics · doi:10.1016/j.tecto.2008.01.021 · Cited by 123

Density, Overcompleteness, and Localization of Frames. I. Theory

Balan, R. V., Casazza, P. G., Heil, C., & Landau, Z. A. (2006) · Journal of Fourier Analysis and Applications · doi:10.1007/s00041-006-6022-0 · Cited by 123

Detection and classification of voltage disturbances using a Fuzzy-ARTMAP-wavelet network

Decanini, J. G. M. S., Tonelli‐Neto, M. S., Malange, F. C. V., & MINUSSI, C. R. (2011) · Electric Power Systems Research · doi:10.1016/j.epsr.2011.07.018 · Cited by 123

Wavelet entropy analysis of event-related potentials indicates modality-independent theta dominance

Yordanova, J., Kolev, V., Rosso, O. A., Schürmann, M., Sakowitz, O. W., Özgören, M., & Başar, E. (2002) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00095-x · Cited by 123

Applications of complex valued wavelet transforms to subband decomposition

Lawton, W. (1993) · IEEE Transactions on Signal Processing · doi:10.1109/78.258098 · Cited by 123

Molecular dynamics studies of brittle fracture in vitreous silica: Review and recent progress

Muralidharan, K., Simmons, J. H., Deymier, P. A., & Runge, K. (2005) · Journal of Non-Crystalline Solids · doi:10.1016/j.jnoncrysol.2005.03.026 · Cited by 123

Multiresolution FIR neural-network-based learning algorithm applied to network traffic prediction

Alarcon‐Aquino, V., & Barria, J. A. (2006) · IEEE Transactions on Systems Man and Cybernetics Part C (Applications and Reviews) · doi:10.1109/tsmcc.2004.843217 · Cited by 123

Ten good reasons for using spline wavelets

Unser, M. A. (1997) · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · doi:10.1117/12.292801 · Cited by 123

Stable Adaptive Control of Robot Manipulators Using “Neural” Networks

Sanner, R. M., & Slotine, J.-J. E. (1995) · Neural Computation · doi:10.1162/neco.1995.7.4.753 · Cited by 124

Significance-linked connected component analysis for wavelet image coding

Chai, B.-B., Vass, J., & Zhuang, X. (1999) · IEEE Transactions on Image Processing · doi:10.1109/83.766856 · Cited by 123

Wavelet analysis of wall turbulence to study large-scale modulation of small scales

Baars, W. J., Talluru, K. M., Hutchins, N. T., & Maruŝiĉ, I. (2015) · Experiments in Fluids · doi:10.1007/s00348-015-2058-8 · Cited by 122

Wavelet-based electrocardiogram signal compression methods and their performances: A prospective review

Manikandan, M. S., & Dandapat, S. (2014) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2014.07.002 · Cited by 122

Application of infrared thermography in computer aided diagnosis

Faust, O., Acharya, U. R., Ng, E. Y. K., Hong, T. J., & Yu, W. (2014) · Infrared Physics & Technology · doi:10.1016/j.infrared.2014.06.001 · Cited by 122

A Functional Wavelet–Kernel Approach for Time Series Prediction

Antoniadis, A., Paparoditis, E., & Sapatinas, T. (2006) · Journal of the Royal Statistical Society Series B (Statistical Methodology) · doi:10.1111/j.1467-9868.2006.00569.x · Cited by 122

Exploration of computational methods for classification of movement intention during human voluntary movement from single trial EEG

Bai, O., Lin, P. T., Vorbach, S., Jiang, L., Furlani, S., & Hallett, M. (2007) · Clinical Neurophysiology · doi:10.1016/j.clinph.2007.08.025 · Cited by 122

A Mutual Information Based Adaptive Windowing of Informative EEG for Emotion Recognition

Piho, L., & Tjahjadi, T. (2018) · IEEE Transactions on Affective Computing · doi:10.1109/taffc.2018.2840973 · Cited by 122

Self-Adaptive Generalized S-Transform and Its Application in Seismic Time–Frequency Analysis

Liu, N., Gao, J., Zhang, B., Wang, Q., & Jiang, X. (2019) · IEEE Transactions on Geoscience and Remote Sensing · doi:10.1109/tgrs.2019.2916792 · Cited by 122

Long-Memory Processes, the Allan Variance and Wavelets

Percival, D. B., & Guttorp, P. M. (1994) · Wavelet analysis and its applications · doi:10.1016/b978-0-08-052087-2.50018-9 · Cited by 122

Image Texture Characterization Using the Discrete Orthonormal S-Transform

Drabycz, S., Stockwell, R. G., & Mitchell, J. R. (2008) · Journal of Imaging Informatics in Medicine · doi:10.1007/s10278-008-9138-8 · Cited by 122

Performance Reassessment of a Real‐time Seizure‐detection Algorithm on Long ECoG Series

Osorio, I., Frei, M. G., Giftakis, J., Peters, T. F., Ingram, J., Turnbull, M., Herzog, M., Rise, M. T., Schaffner, S., Wennberg, R. A., et al. (2002) · Epilepsia · doi:10.1046/j.1528-1157.2002.11102.x · Cited by 122

Sampling and interpolation in Bargmann–Fock spaces of polyanalytic functions

Abreu, L. D. (2009) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2009.11.004 · Cited by 122

Genome-wide DNA polymorphism analyses using VariScan

Hütter, S., Vilella, A. J., & Rozas, J. (2006) · BMC Bioinformatics · doi:10.1186/1471-2105-7-409 · Cited by 128

Automatic Skin Cancer Images Classification

Elgamal, M. (2013) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2013.040342 · Cited by 121

Fault feature extraction of gearbox by using overcomplete rational dilation discrete wavelet transform on signals measured from vibration sensors

Chen, B., Zhang, Z., Sun, C., Li, B., Zi, Y., & He, Z. (2012) · Mechanical Systems and Signal Processing · doi:10.1016/j.ymssp.2012.07.007 · Cited by 121

Time-frequency distributions of click-evoked otoacoustic emissions

Tognola, G., Grandori, F., & Ravazzani, P. (1997) · Hearing Research · doi:10.1016/s0378-5955(97)00007-5 · Cited by 121

Wavelets in biomedical engineering

Akay, M. (1995) · Annals of Biomedical Engineering · doi:10.1007/bf02584453 · Cited by 121

Wavelet-based simulation of fractional Brownian motion revisited

Pipiras, V. (2005) · Applied and Computational Harmonic Analysis · doi:10.1016/j.acha.2005.01.002 · Cited by 121

Regularity of refinable function vectors

Cohen, A. K., Daubechies, I., & Plonka, G. (1997) · Journal of Fourier Analysis and Applications · doi:10.1007/bf02649113 · Cited by 121

Iterative Regularization and Nonlinear Inverse Scale Space Applied to Wavelet-Based Denoising

Xu, J., & Osher, S. (2007) · IEEE Transactions on Image Processing · doi:10.1109/tip.2006.888335 · Cited by 121

Wavelets-based estimation of multivariate evolutionary spectra and its application to nonstationary downburst winds

Huang, G., & Chen, X. (2009) · Engineering Structures · doi:10.1016/j.engstruct.2008.12.010 · Cited by 121

Multiresolution reproducing kernel particle method for computational fluid dynamics

Liu, W. K., Jun, S., Sihling, D. T., Chen, Y.-J., & Wei, H. (1997) · International Journal for Numerical Methods in Fluids · doi:10.1002/(sici)1097-0363(199706)24:12 · Cited by 121

Developments in stochastic structural mechanics

Schuëller, G. I. (2006) · Archive of Applied Mechanics · doi:10.1007/s00419-006-0067-z · Cited by 121

Model selection for regression on a random design

Baraud, Y. (2002) · ESAIM Probability and Statistics · doi:10.1051/ps:2002007 · Cited by 121

Multiresolution image classification by hierarchical modeling with two-dimensional hidden Markov models

Li, J., Gray, R. M., & Olshen, R. A. (2000) · IEEE Transactions on Information Theory · doi:10.1109/18.857794 · Cited by 121

Wavelet-based multiresolution local tomography

Rashid-Farrokhi, F., Liu, K. J. R., Berenstein, C. A., & Walnut, D. F. (1997) · IEEE Transactions on Image Processing · doi:10.1109/83.624961 · Cited by 121

Interpolation of spatially varying but sparsely measured geo-data: A comparative study

Wang, Y., Akeju, V. O., & Zhao, T. (2017) · Engineering Geology · doi:10.1016/j.enggeo.2017.10.019 · Cited by 120

Measuring anti-correlations in the nordic electricity spot market by wavelets

Simonsen, I. (2003) · Physica A Statistical Mechanics and its Applications · doi:10.1016/s0378-4371(02)01938-6 · Cited by 120

A Tikhonov-based projection iteration for nonlinear Ill-posed problems with sparsity constraints

Ramlau, R., & Teschke, G. (2006) · Numerische Mathematik · doi:10.1007/s00211-006-0016-3 · Cited by 120

Pairs of Dual Wavelet Frames from Any Two Refinable Functions

Daubechie, I., & Han, B. (2004) · Constructive Approximation · doi:10.1007/s00365-004-0567-4 · Cited by 120

Wavelet-Hybrid Feedback-Least Mean Square Algorithm for Robust Control of Structures

Adeli, H., & Kim, H. (2003) · Journal of Structural Engineering · doi:10.1061/(asce)0733-9445(2004)130:1(128 · Cited by 120

Detection of Suspicious Lesions by Adaptive Thresholding Based on Multiresolution Analysis in Mammograms

Hu, K., Gao, X., & Li, F. (2010) · IEEE Transactions on Instrumentation and Measurement · doi:10.1109/tim.2010.2051060 · Cited by 120

Enhancement of spectral analysis of myoelectric signals during static contractions using wavelet methods

Karlsson, S., Yu, J., & Akay, M. (1999) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.764944 · Cited by 120

Solving Multi-dimensional Evolution Problems with Localized Structures using Second Generation Wavelets

Vasilyev, O. V. (2003) · International journal of computational fluid dynamics · doi:10.1080/1061856021000011152 · Cited by 120

Wavelets on the sphere: implementation and approximations

Antoine, J.-P., Laurent Demanet, A., Jacques, L., & Vandergheynst, P. (2002) · Applied and Computational Harmonic Analysis · doi:10.1016/s1063-5203(02)00507-9 · Cited by 119

The tropical Atlantic meridional SST gradient index and its relationships with the SOI, NAO and Southern Ocean

Mélice, J.-L., & Servain, J. (2003) · Climate Dynamics · doi:10.1007/s00382-002-0289-x · Cited by 95

Hybrid grid/basis set discretizations of the Schrödinger equation

White, S. R. (2017) · The Journal of Chemical Physics · doi:10.1063/1.5007066 · Cited by 30

Wavelets: the mathematical background

Cohen, A., & Kovačević, J. (1996) · Proceedings of the IEEE · doi:10.1109/5.488697 · Cited by 309

Orthonormal bases of compactly supported wavelets

Daubechies, I. C. (1988) · Communications on Pure and Applied Mathematics · doi:10.1002/cpa.3160410705 · Cited by 8,143

Wavelets and allied topics

Jain, P., Mhaskar, H. N., & Krishna, M. C. (2001) · CERN Document Server (European Organization for Nuclear Research) · Cited by 5

Orthonormal Bases of Wavelets with Finite Support — Connection with Discrete Filters

Daubechies, I. C. (1990) · Inverse problems and theoretical imaging · doi:10.1007/978-3-642-75988-8_3 · Cited by 53

Orthonormal Bases of Compactly Supported Wavelets II. Variations on a Theme

Daubechies, I. C. (1993) · SIAM Journal on Mathematical Analysis · doi:10.1137/0524031 · Cited by 394