Relevant bibliographies by topics / Wavelet moment

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  2. Dissertations / Theses
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Academic literature on the topic 'Wavelet moment'

Author: Grafiati
Published: 3 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Wavelet moment"

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SUN, YANKUI. "LIFTING CONSTRUCTION OF SPLINE DYADIC WAVELET FILTERS WITH ANY NUMBER OF VANISHING MOMENTS." International Journal of Wavelets, Multiresolution and Information Processing 07, no. 05 (2009): 693–710. http://dx.doi.org/10.1142/s0219691309003148.

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The dyadic lifting schemes, which generalize Sweldens lifting schemes, have been applied to design dyadic wavelet with higher number of vanishing moments. But the existing dyadic lifting methods cannot give the free parameters (i.e. lifting factors) explicitly under vanishing moment constraints, and the exact vanishing moments of the lifted wavelet is unknown a priori. This paper provides a solution of these problems for spline dyadic wavelets. It proposes a novel constructive method for lifting constructing spline dyadic wavelets with desirable numbers of vanishing moments. This new lifting c
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Kathuria, Leena, Shashank Goel, and Nikhil Khanna. "Fourier–Boas-Like Wavelets and Their Vanishing Moments." Journal of Mathematics 2021 (March 6, 2021): 1–7. http://dx.doi.org/10.1155/2021/6619551.

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In this paper, we propose Fourier–Boas-Like wavelets and obtain sufficient conditions for their higher vanishing moments. A sufficient condition is given to obtain moment formula for such wavelets. Some properties of Fourier–Boas-Like wavelets associated with Riesz projectors are also given. Finally, we formulate a variation diminishing wavelet associated with a Fourier–Boas-Like wavelet.
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Gong, Jing. "Influence of wavelet characteristics on single-phase grounding fault line selection." IOP Conference Series: Earth and Environmental Science 983, no. 1 (2022): 012015. http://dx.doi.org/10.1088/1755-1315/983/1/012015.

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Abstract It is difficult to select the fault line in distribution network because of the small single-phase grounding fault current. Wavelet transform is especially suitable for fault transient analysis because of its unique time-frequency localization performance. However, the characteristics of different wavelets have a direct impact on the line selection results. Improper selection of wavelets will directly lead to misjudgment. Firstly, the transient characteristics of single-phase grounding fault and the relationship between wavelet transform modulus maxima and singularity are analysed, an
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Zhu, Bin, and Wei Dong Jin. "Feature Analysis of Advanced Radar Emitter Signals Based on Continuous Wavelet Transform." Applied Mechanics and Materials 246-247 (December 2012): 1125–29. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.1125.

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For further study the recognition problem of radar emitter signals (RES), the theory of continuous wavelet transform (CWT) and gray moment are introduced into the feature extraction of RES. A new approach for RES feature extraction was proposed based on CWT and gray moment. By using the time-frequency domain characteristics of wavelet analysis and the moment-based method, the CWT coefficients of RES and the changing rules of RES gray moment were researched. The experiment results shows that the wavelet gray moments of the RES take on a rising trend along with the increase of the order, and the
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Li, Rui Ming, Liang Gong, and Qi Xiong. "Construction Method of Perfect Reconstruction Condition-Based Biorthogonal Wavelet." Applied Mechanics and Materials 416-417 (September 2013): 1305–8. http://dx.doi.org/10.4028/www.scientific.net/amm.416-417.1305.

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This paper proposes a general construction method of biorthogonal wavelet based on perfect reconstruction condition. With the certain filter length and vanishing moment, it can educe the biorthogonal wavelets filter coefficient by solving equations. Thereafter, this method constructs 5/3 wavelet, CDF9/7 wavelet and 9/7 wavelet with simple coefficient, which applies well to hardware, for JPEG2000.
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Xiang, Jiawei, Zhansi Jiang, and Xuefeng Chen. "A Class of Wavelet-Based Rayleigh-Euler Beam Element for Analyzing Rotating Shafts." Shock and Vibration 18, no. 3 (2011): 447–58. http://dx.doi.org/10.1155/2011/563124.

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A class of wavelet-based Rayleigh-Euler rotating beam element using B-spline wavelets on the interval (BSWI) is developed to analyze rotor-bearing system. The effects of translational and rotary inertia, torsion moment, axial displacement, cross-coupled stiffness and damping coefficients of bearings, hysteric and viscous internal damping, gyroscopic moments and bending deformation of the system are included in the computational model. In order to get a generalized formulation of wavelet-based element, each boundary node is collocated six degrees of freedom (DOFs): three translations and three
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Pathak, Ashish. "Moment asymptotic expansions of the wavelet transforms." Boletim da Sociedade Paranaense de Matemática 35, no. 1 (2017): 237. http://dx.doi.org/10.5269/bspm.v35i1.28412.

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Using distribution theory we present the moment asymptotic ex-pansion of continuous wavelet transform in dierent distribution spaces for largeand small values of dilation parameter a. We also obtain asymptotic expansionsfor certain wavelet transform.
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KARRAS, DIMITRIOS. "An Efficient Feature Extraction Methodology for Computer Vision Applications using Wavelet Compressed Zernike Moments." ICGST International Journal on Graphics, Vision and Image Processing 5 (September 30, 2005): 5–15. https://doi.org/10.5281/zenodo.13837686.

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Papakostas, G. A., Karras, D. A., Mertzios, B. G., &amp; Boutalis, Y. S. (2005). An efficient feature extraction methodology for computer vision applications using wavelet compressed Zernike moments.&nbsp;<em>ICGST International Journal on Graphics, Vision and Image Processing, Special Issue: Wavelets and Their Applications</em>, 5-15. &nbsp; An Efficient Feature Extraction Methodology for Computer Vision Applicationsusing Wavelet Compressed Zernike Moments G. A. Papakostas1, D. A. Karras2, B. G. Mertzios3 and Y. S. Boutalis1 1 Democritus University of Thrace, Department of Electr. and Comp. E
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Lashab, Mohamed, Chems-Edine Zebiri, and Fatiha Benabdelaziz. "WAVELET-BASED MOMENT METHOD AND WAVELET-BASED MOMENT METHOD AND PHYSICAL OPTICS USE ON LARGE REFLECTOR ANTENNAS." Progress In Electromagnetics Research M 2 (2008): 189–200. http://dx.doi.org/10.2528/pierm08042902.

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Liu, Caixia, and Li Zhang. "A Novel Denoising Algorithm Based on Wavelet and Non-Local Moment Mean Filtering." Electronics 12, no. 6 (2023): 1461. http://dx.doi.org/10.3390/electronics12061461.

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Denoising is the basis and premise of image processing and an important part of image preprocessing. Denoising can effectively improve image quality, which contributes to subsequent image processing such as image segmentation, feature extraction, and so on. In this paper, we propose a novel image denoising method based on wavelet transform and nonlocal moment mean filtering approach (NMM). The noisy image is firstly denoised by a wavelet-based soft-thresholding denoising technique and NMM is then utilized to further eliminate the rest noises. Meanwhile, the fusion of moment invariants increase
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Dissertations / Theses on the topic "Wavelet moment"

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Ogbazghi, Asmerom Y. "Application of moment wavelet transform to quantum mechanics." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 1998. http://digitalcommons.auctr.edu/dissertations/3307.

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In this work we reconstruct Quantum Mechanical wave functions for some confining potentials, using the moment-wavelet method of Handy and Murenzi. This method consists in transforming the Schrodinger equation into an equivalent continuous wavelet transform (CWT) representation involving scaled and translated moments, µ1/ α,b (p)=∫χpe-Q\( Ψ(x +b), where ϐ -Q becomes the mother wavelet. The discrete bound states are determined through a multiscale process involving the integration of a finite number of coupled linear first order differential equation in the moments µ1/ α,b (p). The underlying in
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Cheng, Huaining. "Orthogonal Moment-Based Human Shape Query and Action Recognition from 3D Point Cloud Patches." Wright State University / OhioLINK, 2015. http://rave.ohiolink.edu/etdc/view?acc_num=wright1452160221.

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Wirsing, Karlton. "Application of Wavelets to Filtering and Analysis of Self-Similar Signals." Thesis, Virginia Tech, 2014. http://hdl.handle.net/10919/78087.

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Digital Signal Processing has been dominated by the Fourier transform since the Fast Fourier Transform (FFT) was developed in 1965 by Cooley and Tukey. In the 1980's a new transform was developed called the wavelet transform, even though the first wavelet goes back to 1910. With the Fourier transform, all information about localized changes in signal features are spread out across the entire signal space, making local features global in scope. Wavelets are able to retain localized information about the signal by applying a function of a limited duration, also called a wavelet, to the signal.
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Tolosa, Thiago Antonio Grandi de. "Uma proposta para análise otimizada de correntes transitórias em materiais condutores." Universidade de São Paulo, 2010. http://www.teses.usp.br/teses/disponiveis/3/3142/tde-16082010-143424/.

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Neste trabalho é desenvolvida uma metodologia baseada na aplicação do método dos momentos conjugado à aproximação por diferenças finitas, para análise no domínio do tempo da distribuição de correntes transitórias em meios condutores. O procedimento computacional permite que sejam considerados sistemas de condutores longos, com seção transversal genérica, discretizados em elementos filiformes. Assim, a equação integral que descreve o problema é substituída por uma representação matricial. No caso de meios não homogêneos, o método dos elementos finitos é usado para a obtenção da matriz que permi
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Zhanlav, Tugal. "Some choices of moments of refinable function and applications." Universitätsbibliothek Chemnitz, 2006. http://nbn-resolving.de/urn:nbn:de:swb:ch1-200601316.

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We propose a recursive formula for moments of scaling function and sum rule. It is shown that some quadrature formulae has a higher degree of accuracy under proposed moment condition. On this basis we obtain higher accuracy formula for wavelet expansion coefficients which are needed to start the fast wavelet transform and estimate convergence rate of wavelet approximation and sampling of smooth functions. We also present a direct algorithm for solving refinement equation.
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Cheng, Ho-Yin. "Lifting schemes for wavelet filters of trigonometric vanishing moments." Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B42577044.

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Peixoto, Lariana Luy 1984, Orlando José 1958-2010 Tobias, Marcelo Grafulha 1963 Vanti, and Universidade Regional de Blumenau Programa de Pós-Graduação em Engenharia Elétrica. "Aplicação de wavelets no método dos momentos /." reponame:Biblioteca Digital de Teses e Dissertações FURB, 2010. http://www.bc.furb.br/docs/DS/2010/351412_1_1.PDF.

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Orientador: Orlando José Tobias.<br>Coorientador: Marcelo Grafulha Vanti.<br>Dissertação (mestrado) - Universidade Regional de Blumenau, Centro de Ciências Tecnológicas, Programa de Pós-Graduação em Engenharia Elétrica.
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Uzinski, Julio Cezar [UNESP]. "Momentos nulos e regularidade wavelet na detecção de falhas em sinais." Universidade Estadual Paulista (UNESP), 2013. http://hdl.handle.net/11449/87157.

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Made available in DSpace on 2014-06-11T19:22:33Z (GMT). No. of bitstreams: 0 Previous issue date: 2013-08-23Bitstream added on 2014-06-13T19:28:05Z : No. of bitstreams: 1 uzinski_jc_me_ilha.pdf: 2461694 bytes, checksum: a550e7ee5e16f06fdb77aca59eb3519e (MD5)<br>Geralmente, em processamento digital de sinais, quando um sinal vai ser analisado usando a transformada wavelet, algumas ou várias funções wavelets são testadas e aquela que melhor se adapta no tempo e na frequência com o dado sinal é a escolhida. Entretanto, sabese que propriedades, como regularidade, suavidade e suporte compacto são
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Uzinski, Julio Cezar. "Momentos nulos e regularidade wavelet na detecção de falhas em sinais /." Ilha Solteira, 2013. http://hdl.handle.net/11449/87157.

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Orientador: Francisco Villarreal Alvarado<br>Coorientador: Marco Aparecido Queiroz Duarte<br>Banca: Jozué Vieira Filho<br>Banca: Edivaldo Romanini<br>Resumo: Geralmente, em processamento digital de sinais, quando um sinal vai ser analisado usando a transformada wavelet, algumas ou várias funções wavelets são testadas e aquela que melhor se adapta no tempo e na frequência com o dado sinal é a escolhida. Entretanto, sabese que propriedades, como regularidade, suavidade e suporte compacto são determinantes na escolha da função wavelet a ser usada. Funções com suporte maior aumentam a resolução em
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Bleiler, Sarah K. "Orthogonal filters and the implications of wrapping on discrete wavelet transforms." [Tampa, Fla] : University of South Florida, 2008. http://purl.fcla.edu/usf/dc/et/SFE0002676.

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Books on the topic "Wavelet moment"

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Gallicchio, Marc. Unconditional. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190091101.001.0001.

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Signed on September 2, 1945, by Japanese and Allied leaders, the instrument of surrender formally ended the war in the Pacific and brought to a close one of the most cataclysmic engagements in history. VJ (Victory over Japan) Day had taken place about two weeks earlier, in the wake of atomic bombs being dropped on Hiroshima and Nagasaki and the Soviet Union’s entrance into the war. In the end, the surrender itself fulfilled FDR’s commitment that it be “unconditional.” Though readily accepted as war policy at the time, after Roosevelt’s death in April 1945, popular support for unconditional sur
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Book chapters on the topic "Wavelet moment"

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Do, Minh, Serge Ayer, and Martin Vetterli. "Invariant Image Retrieval Using Wavelet Maxima Moment." In Visual Information and Information Systems. Springer Berlin Heidelberg, 1999. http://dx.doi.org/10.1007/3-540-48762-x_56.

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Carruthers, P. "Moment and Wavelet Analysis of Correlations in Multihadron and Galaxy Distributions." In Unified Symmetry. Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-1923-2_8.

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Khare, Manish, Nguyen Thanh Binh, and Rajneesh Kumar Srivastava. "Human Object Classification Using Dual Tree Complex Wavelet Transform and Zernike Moment." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-662-45947-8_7.

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Fu, Jundong, Jinglin Yue, Li Chen, and Tianhang Leng. "Fault Location of Distribution Network for Wavelet Packet Energy Moment of Dragonfly Algorithm." In Advances in Intelligent Systems and Computing. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6733-5_40.

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Wang, Zuowei, Hong Zhang, Dongchao Liu, et al. "New Principle of Fault Data Synchronization for Intelligent Protection Based on Wavelet Analysis." In Proceeding of 2021 International Conference on Wireless Communications, Networking and Applications. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2456-9_87.

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AbstractIn order to eliminate the influence of the delay error of the sampled value in the data link on the longitudinal differential protection device, this paper proposes a protection data self-healing synchronization algorithm based on wavelet transform to calculate the moment of sudden change. First, calculate the mutation amount of the sampled data at each end in real time. When the mutation amount threshold is exceeded, it is determined that the multi-terminal system has a short-circuit fault. Then, according to the sudden change characteristics of the collected current waveform, the wav
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Ranjan, Rajiv, and Prabhat Kumar. "Absolute Moment Block Truncation Coding and Singular Value Decomposition-Based Image Compression Scheme Using Wavelet." In Communication and Intelligent Systems. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-2130-8_72.

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Steeb, Willi-Hans. "Angular Momentum and Lie Algebras." In Hilbert Spaces, Wavelets, Generalised Functions and Modern Quantum Mechanics. Springer Netherlands, 1998. http://dx.doi.org/10.1007/978-94-011-5332-4_14.

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Xiao, Feng, Mingquan Zhou, and Guohua Geng. "Ancient-Coins Images Retrieve by Wavelet Transform and Relative Moments." In Proceedings of the 2012 International Conference on Communication, Electronics and Automation Engineering. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-31698-2_45.

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Zhao, Guoying, Li Cui, and Hua Li. "Combining Wavelet Velocity Moments and Reflective Symmetry for Gait Recognition." In Advances in Biometric Person Authentication. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11569947_26.

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Hussein, Inass Shahadha, and M. J. Nordin. "Palmprint Identification Using Invariant Moments Algorithm Based on Wavelet Transform." In Lecture Notes in Electrical Engineering. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-07674-4_85.

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Conference papers on the topic "Wavelet moment"

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Xu, Dan, Mingzhe Li, and Kuan Zhang. "Fault Prediction of Control Moment Gyro with Lempel-Ziv Index Based on Wavelet Entropy." In 2023 14th International Conference on Reliability, Maintainability and Safety (ICRMS). IEEE, 2023. http://dx.doi.org/10.1109/icrms59672.2023.00218.

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Solovyev, V. A., T. G. Klimova, and E. N. Kolobrodov. "Detection of the Moment of Mode Change in Differential Protection Based on Wavelet Transform." In 2024 7th International Youth Scientific and Technical Conference on Relay Protection and Automation (RPA). IEEE, 2024. https://doi.org/10.1109/rpa65165.2024.10932918.

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Kale, Mehmet Cemil, Gizem Atac, and Omer Nezih Gerek. "Biorthogonal wavelet vanishing moment increment technique." In 2015 23th Signal Processing and Communications Applications Conference (SIU). IEEE, 2015. http://dx.doi.org/10.1109/siu.2015.7129943.

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Zhou, Qing, Huaiyuan Liu, Xiaorui Hu, et al. "The application of relative moment and wavelet moment in target obstacle recognition." In 2016 IEEE International Conference on Information and Automation (ICIA). IEEE, 2016. http://dx.doi.org/10.1109/icinfa.2016.7832092.

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Xiao-Jun Tong, Shan Zeng, Kang Zhou, Kai Zhao, and Qin Jiang. "Hand-written numeral recognition based on Zernike moment." In 2008 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2008. http://dx.doi.org/10.1109/icwapr.2008.4635806.

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Liu, Hongli, and LiYing Ye. "Image recognition algorithm undecimated wavelet transform coupling moment." In 2nd International Conference on Advances in Mechanical Engineering and Industrial Informatics (AMEII 2016). Atlantis Press, 2016. http://dx.doi.org/10.2991/ameii-16.2016.263.

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Saini, Manish Kumar, J. S. Saini, and Shachi Sharma. "Moment based wavelet filter design for fingerprint classification." In 2013 International Conference on Signal Processing and Communication (ICSC). IEEE, 2013. http://dx.doi.org/10.1109/icspcom.2013.6719795.

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Chen, Liang-Wei, and Chao-Rong Li. "Invariant moment features for fingerprint recognition." In 2013 10th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP). IEEE, 2013. http://dx.doi.org/10.1109/iccwamtip.2013.6716606.

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Li, Wei, Xiaojuan Wu, Koichi Matsumoto, and Hua-An Zhao. "Crowd foreground detection and density estimation based on moment." In 2010 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). IEEE, 2010. http://dx.doi.org/10.1109/icwapr.2010.5576421.

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Zhi, Ruicong, and Qiuqi Ruan. "Robust Facial Expression Recognition Using Selected Wavelet Moment Invariants." In 2009 WRI Global Congress on Intelligent Systems. IEEE, 2009. http://dx.doi.org/10.1109/gcis.2009.217.

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