Academic literature on the topic 'Wavelets'

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Journal articles on the topic "Wavelets"

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Battle, Guy. "Osiris wavelets and Set wavelets." Journal of Applied Mathematics 2004, no. 6 (2004): 495–528. http://dx.doi.org/10.1155/s1110757x04404070.

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An alternative to Osiris wavelet systems is introduced in two dimensions. The basic building blocks are continuous piecewise linear functions supported on equilateral triangles instead of on squares. We refer to wavelets generated in this way as Set wavelets. We introduce a Set wavelet system whose homogeneous mode density is2/5. The system is not orthonormal, but we derive a positive lower bound on the overlap matrix.
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SHUKLA, NIRAJ K. "NON-MSF A-WAVELETS FROM A-WAVELET SETS." International Journal of Wavelets, Multiresolution and Information Processing 11, no. 01 (2013): 1350002. http://dx.doi.org/10.1142/s0219691313500021.

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Generalizing the result of Bownik and Speegle [Approximation Theory X: Wavelets, Splines and Applications, Vanderbilt University Press, pp. 63–85, 2002], we provide plenty of non-MSF A-wavelets with the help of a given A-wavelet set. Further, by showing that the dimension function of the non-MSF A-wavelet constructed through an A-wavelet set W coincides with the dimension function of W, we conclude that the non-MSF A-wavelet and the A-wavelet set through which it is constructed possess the same nature as far as the multiresolution analysis is concerned. Some examples of non-MSF d-wavelets and
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KING, EMILY J. "SMOOTH PARSEVAL FRAMES FOR L2(ℝ) AND GENERALIZATIONS TO L2(ℝd)". International Journal of Wavelets, Multiresolution and Information Processing 11, № 06 (2013): 1350047. http://dx.doi.org/10.1142/s0219691313500471.

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Wavelet set wavelets were the first examples of wavelets that may not have associated multiresolution analyses. Furthermore, they provided examples of complete orthonormal wavelet systems in L2(ℝd) which only require a single generating wavelet. Although work had been done to smooth these wavelets, which are by definition discontinuous on the frequency domain, nothing had been explicitly done over ℝd, d > 1. This paper, along with another one cowritten by the author, finally addresses this issue. Smoothing does not work as expected in higher dimensions. For example, Bin Han's proof of exist
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Lal, Shyam, and Harish Yadav. "Approximation of functions belonging to Hölder’s class and solution of Lane-Emden differential equation using Gegenbauer wavelets." Filomat 37, no. 12 (2023): 4029–45. http://dx.doi.org/10.2298/fil2312029l.

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In this paper, a very new technique based on the Gegenbauer wavelet series is introduced to solve the Lane-Emden differential equation. The Gegenbauer wavelets are derived by dilation and translation of an orthogonal Gegenbauer polynomial. The orthonormality of Gegenbauer wavelets is verified by the orthogonality of classical Gegenbauer polynomials. The convergence analysis of Gegenbauer wavelet series is studied in H?lder?s class. H?lder?s class H?[0,1) and H?[0,1) of functions are considered, H?[0,1) class consides with classical H?lder?s class H?[0, 1) if ?(t) = t?, 0 < ? ? 1. The Gegenb
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ZENG, LI, JIQIANG GUO, and CHENCHENG HUANG. "THE BACK-PROJECTION METHOD FOR CONSTRUCTING 3D NON-TENSOR PRODUCT MOTHER WAVELETS AND THE APPLICATION IN IMAGE EDGE DETECTION." International Journal of Wavelets, Multiresolution and Information Processing 10, no. 03 (2012): 1250026. http://dx.doi.org/10.1142/s0219691312500269.

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In this paper, a non-tensor product method for constructing three-dimension (3D) mother wavelets by back-projecting two dimension (2D) mother wavelets is presented. We have proved that if a 2D mother wavelet satisfies certain conditions, the back-projection of the 2D mother wavelet is a 3D mother wavelet. And the construction instances of 3D Mexican-hat wavelet and 3D Meyer wavelet are given. These examples imply that we can get some new 3D mother wavelets from known 1D or 2D mother wavelets by using back-projecting method. This method inaugurates a new approach for constructing non-tensor pro
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ASHUROV, RAVSHAN. "CONVERGENCE OF THE CONTINUOUS WAVELET TRANSFORMS ON THE ENTIRE LEBESGUE SET OF Lp-FUNCTIONS." International Journal of Wavelets, Multiresolution and Information Processing 09, no. 04 (2011): 675–83. http://dx.doi.org/10.1142/s0219691311004262.

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The almost everywhere convergence of wavelets transforms of Lp-functions under minimal conditions on wavelets is well known. But this result does not provide any information about the exceptional set (of Lebesgue measure zero), where convergence does not hold. In this paper, under slightly stronger conditions on wavelets, we prove convergence of wavelet transforms everywhere on the entire Lebesgue set of Lp-functions. On the other hand, practically all the wavelets, including Haar and "French hat" wavelets, used frequently in applications, satisfy our conditions. We also prove that the same co
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ZHAN, YINWEI, and HENK J. A. M. HEIJMANS. "NON-SEPARABLE 2D BIORTHOGONAL WAVELETS WITH TWO-ROW FILTERS." International Journal of Wavelets, Multiresolution and Information Processing 03, no. 01 (2005): 1–18. http://dx.doi.org/10.1142/s0219691305000713.

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In the literature 2D (or bivariate) wavelets are usually constructed as a tensor product of 1D wavelets. Such wavelets are called separable. However, there are various applications, e.g. in image processing, for which non-separable 2D wavelets are prefered. In this paper, we investigate the class of compactly supported orthonormal 2D wavelets that was introduced by Belogay and Wang.2 A characteristic feature of this class of wavelets is that the support of the corresponding filter comprises only two rows. We are concerned with the biorthogonal extension of this kind of wavelets. It turns out t
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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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Knapp, Ralph W. "Energy distribution in wavelets and implications on resolving power." GEOPHYSICS 58, no. 1 (1993): 39–46. http://dx.doi.org/10.1190/1.1443350.

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The suite of a wavelet is defined as being all wavelets that share a common amplitude spectrum and total energy but differ in phase spectra. Within a suite there are also classes of wavelets. A wavelet class has a common amplitude envelope and energy distribution. As such, it includes all wavelets that differ by only a constant‐angle phase shift. Of all wavelets within suite, the zero‐phase wavelet has the minimum energy envelope width; its energy is confined to minimum time dispersion. Therefore, the zero‐phase wavelet has maximum resolving power within the suite. Because a zero‐phase wavelet
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E, Sasikala Reddy, and V. V. Satyanarayana Tallapragada. "Design and Implementation of New Biorthogonal Wavelets and its Application to Image Processing." International Journal of Emerging Research in Engineering, Science, and Management 1, no. 1 (2022): 05–10. https://doi.org/10.58482/ijeresm.v1i1.2.

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Wavelet transformation has been an interesting field since its exposure with wavelet-based compression standard embedded zerotree wavelet. Though, the origin of wavelets back to many decades, the presence of research at the very beginning of wavelet bases is also being carried out in the research community. This is because of the wide presence of its applicability as well as its structure of adapting to the type of problem at hand. In this paper, an approach of designing biorthogonal wavelets is presented. This approach may be extended to design variety of wavelets. This paper mainly focus on
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Dissertations / Theses on the topic "Wavelets"

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Gussin, Sara. "Wavelets and Wavelet Sets." Scholarship @ Claremont, 2008. https://scholarship.claremont.edu/hmc_theses/206.

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Wavelets are functions that are useful for representing signals and approximating other functions. Wavelets sets are defined in terms of Fourier transforms of certain wavelet functions. In this paper, we provide an introduction to wavelets and wavelets sets, examine the preexisting literature on the subject, and investigate an algorithm for creating wavelet sets. This algorithm creates single wavelets, which can be used to create bases for L2(Rn) through dilation and translation. We investigate the convergence properties of the algorithm, and implement the algorithm in Matlab.
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Kutyniok, Gitta. "Affine density in wavelet analysis /." Berlin [u.a.] : Springer, 2007. http://www.gbv.de/dms/ilmenau/toc/529512874.PDF.

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Alnasser, Mais. "PHASE-SHIFTING HAAR WAVELETS FOR IMAGE-BASED RENDERING APPLICATIONS." Doctoral diss., University of Central Florida, 2008. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4181.

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In this thesis, we establish the underlying research background necessary for tackling the problem of phase-shifting in the wavelet transform domain. Solving this problem is the key to reducing the redundancy and huge storage requirement in Image-Based Rendering (IBR) applications, which utilize wavelets. Image-based methods for rendering of dynamic glossy objects do not truly scale to all possible frequencies and high sampling rates without trading storage, glossiness, or computational time, while varying both lighting and viewpoint. This is due to the fact that current approaches are limited
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Colthurst, Thomas. "Multidimensional wavelets." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/43934.

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Piché, Daniel Guy. "IFSM, wavelets and fractal-wavelets, three methods of approximation." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq21538.pdf.

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Pich??, Daniel Guy. "IFSM, wavelets and fractal-wavelets, three methods of approximation." Thesis, National Library of Canada = Biblioth??que nationale du Canada, 1997. http://hdl.handle.net/10012/29.

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Ebert, Svend. "Wavelets on Lie groups and homogeneous spaces." Doctoral thesis, Technische Universitaet Bergakademie Freiberg Universitaetsbibliothek "Georgius Agricola", 2011. http://nbn-resolving.de/urn:nbn:de:bsz:105-qucosa-78988.

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Within the past decades, wavelets and associated wavelet transforms have been intensively investigated in both applied and pure mathematics. They and the related multi-scale analysis provide essential tools to describe, analyse and modify signals, images or, in rather abstract concepts, functions, function spaces and associated operators. We introduce the concept of diffusive wavelets where the dilation operator is provided by an evolution like process that comes from an approximate identity. The translation operator is naturally defined by a regular representation of the Lie group where we wa
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Agulhari, Cristiano Marcos 1983. "Compressão de eletrocardiogramas usando wavelets." [s.n.], 2009. http://repositorio.unicamp.br/jspui/handle/REPOSIP/259213.

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Orientador: Ivanil Sebastião Bonatti<br>Dissertação (mestrado) - Universidade Estadual de Campinas, Faculdade de Engenharia Eletrica e de Computação<br>Made available in DSpace on 2018-08-12T20:20:55Z (GMT). No. of bitstreams: 1 Agulhari_CristianoMarcos_M.pdf: 901688 bytes, checksum: 97ec8feb4ee297c319c80463616a7391 (MD5) Previous issue date: 2009<br>Resumo: A principal contribuição desta dissertação é a proposta de dois métodos de compressão de eletrocardiogramas (ECGs). O primeiro método, chamado Run Length Encoding Adaptativo (RLEA), é baseado nas transformadas wavelet e consiste basicame
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Thielemann, Henning. "Optimally matched wavelets." kostenfrei, 2005. http://deposit.dnb.de/cgi-bin/dokserv?idn=98026684X.

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Rachelli, Janice. "Frames de wavelets." reponame:Repositório Institucional da UFSC, 1995. http://repositorio.ufsc.br/xmlui/handle/123456789/76270.

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Dissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Ciencias Fisicas e Matematicas<br>Made available in DSpace on 2012-10-16T08:49:47Z (GMT). No. of bitstreams: 0Bitstream added on 2016-01-08T19:34:13Z : No. of bitstreams: 1 99949.pdf: 1839807 bytes, checksum: 6c279f29fc4c75b84f85a4b5ddc3df75 (MD5)<br>Expansões não necessariamente ortogonais de funções no espaço de Hilbert das funções reais quadrado integráveis, através de uma família de funções gerada a partir de uma única função Wavelet. Se a família gera um frame, então para qualquer função f no espaço de Hilbert cita
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Books on the topic "Wavelets"

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Benedetto, John J., and Michael W. Frazier. Wavelets. CRC Press, 2021. http://dx.doi.org/10.1201/9781003210450.

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Combes, Jean-Michel, Alexander Grossmann, and Philippe Tchamitchian, eds. Wavelets. Springer Berlin Heidelberg, 1989. http://dx.doi.org/10.1007/978-3-642-97177-8.

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Hubbard, Barbara Burke. Wavelets. Birkhäuser Basel, 1997. http://dx.doi.org/10.1007/978-3-0348-6094-9.

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Louis, Alfred Karl, Peter Maaß, and Andreas Rieder. Wavelets. Vieweg+Teubner Verlag, 1994. http://dx.doi.org/10.1007/978-3-322-92109-3.

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Louis, Alfred Karl, Peter Maaß, and Andreas Rieder. Wavelets. Vieweg+Teubner Verlag, 1998. http://dx.doi.org/10.1007/978-3-322-80136-4.

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Combes, Jean-Michel, Alexander Grossmann, and Philippe Tchamitchian, eds. Wavelets. Springer Berlin Heidelberg, 1990. http://dx.doi.org/10.1007/978-3-642-75988-8.

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Gao, Robert X., and Ruqiang Yan. Wavelets. Springer US, 2011. http://dx.doi.org/10.1007/978-1-4419-1545-0.

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Stollnitz, Eric J. Wavelets for computer graphics: Theory and applications. Morgan Kaufmann Publishers, 1996.

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Akujuobi, Cajetan M. Wavelets and Wavelet Transform Systems and Their Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87528-2.

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A, Gopinath Ramesh, and Guo Haitao, eds. Introduction to wavelets and wavelet transforms: A primer. Prentice Hall, 1998.

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Book chapters on the topic "Wavelets"

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Akujuobi, Cajetan M. "Wavelets." In Wavelets and Wavelet Transform Systems and Their Applications. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87528-2_2.

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Vyas, Aparna, Soohwan Yu, and Joonki Paik. "Wavelets and Wavelet Transform." In Signals and Communication Technology. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-7272-7_3.

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Jansen, Maarten. "Wavelets and wavelet thresholding." In Noise Reduction by Wavelet Thresholding. Springer New York, 2001. http://dx.doi.org/10.1007/978-1-4613-0145-5_2.

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Mourad, Talbi. "Wavelets and Wavelet Transforms." In ECG Denoising Based on Total Variation Denoising and Wavelets. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-25267-9_1.

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Gao, Robert X., and Ruqiang Yan. "Signals and Signal Processing in Manufacturing." In Wavelets. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1545-0_1.

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Gao, Robert X., and Ruqiang Yan. "Selection of Base Wavelet." In Wavelets. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1545-0_10.

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Gao, Robert X., and Ruqiang Yan. "Designing Your Own Wavelet." In Wavelets. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1545-0_11.

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Gao, Robert X., and Ruqiang Yan. "Beyond Wavelets." In Wavelets. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1545-0_12.

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Gao, Robert X., and Ruqiang Yan. "From Fourier Transform to Wavelet Transform: A Historical Perspective." In Wavelets. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1545-0_2.

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Gao, Robert X., and Ruqiang Yan. "Continuous Wavelet Transform." In Wavelets. Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-1545-0_3.

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Conference papers on the topic "Wavelets"

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Newland, David E. "Practical Signal Analysis: Do Wavelets Make Any Difference?" In ASME 1997 Design Engineering Technical Conferences. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/detc97/vib-4135.

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Abstract Signal decomposition by time-frequency and time-scale mapping is an essential element of most diagnostic signal analysis. Is the wavelet method of decomposition any better than the short-time Fourier transform and Wigner-Ville methods? This paper explores the effectiveness of wavelets for diagnostic signal analysis. The author has found that harmonic wavelets are particularly suitable because of their simple structure in the frequency domain, but it is still difficult to produce high-definition time-frequency maps. New details of the theory of harmonic wavelet analysis are described w
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Newland, David E. "Progress in the Application of Wavelet Theory to Vibration Analysis." In ASME 1995 Design Engineering Technical Conferences collocated with the ASME 1995 15th International Computers in Engineering Conference and the ASME 1995 9th Annual Engineering Database Symposium. American Society of Mechanical Engineers, 1995. http://dx.doi.org/10.1115/detc1995-0378.

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Abstract For vibration signal analysis, the objective is usually to extract frequency data from a signal and study how the signal’s frequency content changes with time. Because wavelets are local functions of time, each with a predetermined frequency content, wavelet analysis provides a good means of doing this. As a result, practical wavelet analysis is growing rapidly. There are many different wavelets to use but no accepted procedure for choosing between them. This paper discusses various alternative wavelets for practical calculations and describes two of the key numerical algorithms. Exam
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Freeman, Mark O., Ken A. Duell, Brett Bock, and Adam S. Fedor. "Introduction to wavelets and considerations for optical implementation." In OSA Annual Meeting. Optica Publishing Group, 1992. http://dx.doi.org/10.1364/oam.1992.fa1.

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Wavelets have gained the attention of the signal processing community for their usefulness in analyzing nonstationary signals, for their mathematical elegance, and for their relative ease of computation. This paper is intended to introduce the audience to the basic principles of wavelet analysis and to consider where optical techniques can be applied advantageously. A signal is decomposed on a set of basis functions created by scaling and shifting a single fundamental wavelet. The space and frequency localization of the resulting wavelet transform, spanning the range from pure Nyquist sampling
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Zheng, Youqi, Hongchun Wu, and Liangzhi Cao. "Neutron Transport Solution Using the Daubechies’ Wavelets in the Spatial Discretization." In 18th International Conference on Nuclear Engineering. ASMEDC, 2010. http://dx.doi.org/10.1115/icone18-29429.

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This paper describes a one-dimensional wavelet-based spatial discretization scheme for the first-order neutron transport equation. Two special features are introduced: i) the spatial variable is discretized using the Daubechies’ wavelets on the interval, and the neutron flux is represented in term of the wavelet series in a normalized node, the tradition SN angular discretization scheme is used in solving the equation, and ii) the wavelet Galerkin method is applied here, using the Daubechies’ scaling function as both the trialing function and weighting function, the integrations of Daubechies’
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Semenov, Vladimir, and Aleksandr Shurbin. "USING WAVELETS WITH A RECTANGULAR AMPLITUDE-FREQUENCY RESPONSE TO FILTER SIGNALS." In CAD/EDA/SIMULATION IN MODERN ELECTRONICS 2021. Bryansk State Technical University, 2021. http://dx.doi.org/10.30987/conferencearticle_61c997ef29ef52.74618218.

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The wavelet transform is the transmission of a signal through a bandpass filter. The design of wavelets with a rectangular amplitude-frequency response makes it possible to obtain almost ideal digital filters. The wavelet transform is calculated in the frequency domain using the fast Fourier transform.
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Nikravesh, Seyed Majid Yadavar, Hossein Taheri, and Peter Wagstaff. "Identification of Appropriate Wavelet for Vibration Study of Mechanical Impacts." In ASME 2013 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/imece2013-62348.

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The purpose of this paper is to discuss the selection of the most appropriate wavelets to analyze the vibration response of structures due to mechanical impacts. For this reason the wavelet transformation is briefly introduced, then the different types of wavelets, which are commonly used in this type of application are presented. Subsequently, the effects of selecting different types of wavelet to study the vibrations of a mechanical system are evaluated using a mathematical model. Afterwards, the wavelet transform is used to analyze the experimental response caused by the impact of a hammer
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Chancey, Valeta Carol, George T. Flowers, and Candice L. Howard. "A Harmonic Wavelets Approach for Extracting Transient Patterns From Measured Rotor Vibration Data." In ASME Turbo Expo 2001: Power for Land, Sea, and Air. American Society of Mechanical Engineers, 2001. http://dx.doi.org/10.1115/2001-gt-0241.

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Vibration analysis is a powerful diagnostic tool for rotating machinery problems. Traditional approaches to vibration signature analysis have focused on the Fourier transform, which tends to average out transient effects. Recent work in the area of wavelets has allowed for the characterization of signals in frequency and in time, which, if properly interpreted, can provide substantial insight, particularly with regard to transient behaviors. There are many different wavelets, but the harmonic wavelet was developed specifically for vibration analysis. It uses an algorithm based upon the FFT, wh
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Daneshmand, Farhang, Abdolaziz Abdollahi, Mehdi Liaghat, and Yousef Bazargan Lari. "Free Vibration Analysis of Frame Structures Using BSWI Method." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68417.

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Vibration analysis for complicated structures, or for problems requiring large numbers of modes, always requires fine meshing or using higher order polynomials as shape functions in conventional finite element analysis. Since it is hard to predict the vibration mode a priori for a complex structure, a uniform fine mesh is generally used which wastes a lot of degrees of freedom to explore some local modes. By the present wavelets element approach, the structural vibration can be analyzed by coarse mesh first and the results can be improved adaptively by multi-level refining the required parts o
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Aretakis, N., and K. Mathioudakis. "Wavelet Analysis for Gas Turbine Fault Diagnostics." In ASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition. American Society of Mechanical Engineers, 1996. http://dx.doi.org/10.1115/96-gt-343.

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The application of wavelet analysis to diagnosing faults in Gas Turbines is examined in the present paper. Applying the Wavelet Transform to time signals obtained from sensors placed on an engine, gives information which is in correspondence to their Fourier Transform. Diagnostic techniques based on Fourier analysis of signals can therefore be transposed to the Wavelet analysis. In the paper the basic properties of wavelets, in relation to the nature of turbomachinery signals, are discussed. The possibilities for extracting diagnostic information by means of wavelets are examined, by studying
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De A. Coelho, Rodrigo, Hugerles S. Silva, and Núbia S. D. Brito. "Análise da Distribuição de Energia na Decomposição de Sinais no Domínio Wavelet." In Congresso Brasileiro de Automática - 2020. sbabra, 2020. http://dx.doi.org/10.48011/asba.v2i1.1472.

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A Transformada Wavelet Discreta (TWD) é uma das ferramentas mais aplicadas para estudos sobre a qualidade da energia elétrica (QEE). Entretanto, dependendo do filtro utilizado, a decomposição efetuada pela TWD pode implicar em vazamento espectral. O vazamento espectral pode acarretar uma má representação de componentes de frequência, o que é prejudicial a análise da QEE. Nesta conjuntura, este trabalho apresenta uma análise da distribuição de energia e do vazamento espectral na decomposição de sinais efetuada pela Transformada Wavelet Discreta Redundante (TWDR) e pela Transformada Wavelet Pack
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Reports on the topic "Wavelets"

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Schlossnagle, G., J. M. Restrepo, and G. K. Leaf. Periodized wavelets. Office of Scientific and Technical Information (OSTI), 1993. http://dx.doi.org/10.2172/10144057.

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Restrepo, J. M., G. K. Leaf, and G. Schlossnagle. Periodized Daubechies wavelets. Office of Scientific and Technical Information (OSTI), 1996. http://dx.doi.org/10.2172/211651.

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Welland, Grant V., and Brian DeFacio. Wavelets and Scattering. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada292746.

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Topiwala, Pankaj N., and David Colella. Introduction to Wavelets. Defense Technical Information Center, 1993. http://dx.doi.org/10.21236/ada268465.

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Kaiser, Gerald. Realizing Sources for Electromagnetic Wavelets and Implementing the Wavelet Radar Concept. Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada481826.

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Suter, Bruce W. Wavelets and Signal Processing. Defense Technical Information Center, 1996. http://dx.doi.org/10.21236/ada324106.

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Del Rose, Michael. Voice Digit Recognition Using Wavelets. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada634136.

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Tan, C. Y. Peak finding using biorthogonal wavelets. Office of Scientific and Technical Information (OSTI), 2000. http://dx.doi.org/10.2172/750842.

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Crovella, Mark, and Eric Kolaczyk. Graph Wavelets for Spatial Traffic Analysis. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada442573.

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Suter, Bruce W. Wavelets, Signal Processing and Matrix Computations. Defense Technical Information Center, 1994. http://dx.doi.org/10.21236/ada283832.

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