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Dissertations / Theses on the topic 'Wavelet coefficients'

Author: Grafiati
Published: 4 June 2021
Last updated: 15 June 2025

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1

Er, Chiangkai. "Speech recognition by clustering wavelet and PLP coefficients." Thesis, Massachusetts Institute of Technology, 1997. http://hdl.handle.net/1721.1/42742.

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2

Al-Jawad, Naseer. "Exploiting statistical properties of wavelet coefficients for image/video processing and analysis tasks." Thesis, University of Buckingham, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.601354.

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In this thesis the statistical properties of wavelet transform high frequency sub-bands has been used and exploited in three main different applications. These applications are; Image/video feature preserving compression, Face Biometric content based video retrieval and Face feature extraction for face verification and recognition. The main idea of this thesis was also used previously in watermarking (Dietze 2005) where the watermark can be hidden automatically near the significant features in the wavelet sub-bands. The idea is also used in image compression where special integer compression a
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3

Al-Jawad, Neseer. "Exploiting Statical Properties of Wavelet Coefficients for image/Video Processing and Analysis Tasks." Thesis, University of Exeter, 2009. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.515492.

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4

Chrápek, Tomáš. "Potlačování šumu v řeči založené na waveletové transformaci a rozeznávání znělosti segmentů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-217506.

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The wavelet transform is a modern signal processing tool. The wavelet transform earned itself a great success mainly for its unique properties, such as the capability of recognizing very fast changes in processed signal. The theoretical part of this work is introduction to wavelet theory, more specifically wavelet types, a wavelet transform and its application in systems dealing with signal denoising. A main problem connected to speech signals denoising was introduced. The problem is degradation of the speech signal when denoising unvoiced parts. It is because of the fact that unvoiced parts a
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5

Janajreh, Isam Mustafa II. "Wavelet Analysis of Extreme Wind Loads on Low-Rise Structures." Diss., Virginia Tech, 1998. http://hdl.handle.net/10919/30414.

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Over the past thirty years, extensive research has been conducted with the objective of reducing wind damage to structures. Wind tunnel simulations of wind loads have been the major source of building codes. However, a simple comparison of pressure coefficients measured in wind tunnel simulations with full-scale measurements show that the simulations, in general, underpredict extreme negative pressure coefficients. One obvious reason is the lack of consensus on wind tunnel simulation parameters. The wind in the atmospheric surface layer is highly turbulent. In simulating wind loads on struc
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6

Konczi, Róbert. "Digitální hudební efekt založený na waveletové transformaci jako plug-in modul." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218981.

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This work deals with theory of wavelet transform and Mallat’s algorithm. It also includes the programming method of creating VST plug-in modules and describes the developement of the plug-in module, witch uses the modificated coeficients of wavelet transform to applicate the music effect.
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7

Kato, Jien, Toyohide Watanabe, Sebastien Joga, et al. "An HMM-based segmentation method for traffic monitoring movies." IEEE, 2002. http://hdl.handle.net/2237/6744.

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8

Morand, Claire. "Segmentation spatio-temporelle et indexation vidéo dans le domaine des représentations hiérarchiques." Thesis, Bordeaux 1, 2009. http://www.theses.fr/2009BOR13888/document.

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L'objectif de cette thèse est de proposer une solution d'indexation ``scalable'' et basée objet de flux vidéos HD compressés avec Motion JPEG2000. Dans ce contexte, d'une part, nous travaillons dans le domaine transformé hiérachique des ondelettes 9/7 de Daubechies et, d'autre part, la représentation ``scalable'' nécessite des méthodes en multirésolution, de basse résolution vers haute résolution. La première partie de ce manuscrit est dédiée à la définition d'une méthode d'extraction automatique des objets en mouvement. Elle repose sur la combinaison d'une estimation du mouvement global robus
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9

Stamos, Dimitrios Georgios. "Experimental Analysis of the Interaction of Water Waves With Flexible Structures." Diss., Virginia Tech, 2000. http://hdl.handle.net/10919/27567.

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An experimental investigation of the interaction of water waves with flexible structures acting as breakwaters was carried out. Wave profiles, mapped out by water level measuring transducers, were studied to provide information on the performance of different breakwater models. A new signal analysis procedure for determining reflection coefficients based on wavelet theory was developed and compared to a conventional method. The reliability of using wavelet analysis to separate a partial standing wave into incident and reflected wave components was verified with a numerical example. It was also
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10

Zhao, Fangwei. "Multiresolution analysis of ultrasound images of the prostate." University of Western Australia. School of Electrical, Electronic and Computer Engineering, 2004. http://theses.library.uwa.edu.au/adt-WU2004.0028.

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[Truncated abstract] Transrectal ultrasound (TRUS) has become the urologist’s primary tool for diagnosing and staging prostate cancer due to its real-time and non-invasive nature, low cost, and minimal discomfort. However, the interpretation of a prostate ultrasound image depends critically on the experience and expertise of a urologist and is still difficult and subjective. To overcome the subjective interpretation and facilitate objective diagnosis, computer aided analysis of ultrasound images of the prostate would be very helpful. Computer aided analysis of images may improve diagnostic ac
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11

Combrexelle, Sébastien. "Multifractal analysis for multivariate data with application to remote sensing." Phd thesis, Toulouse, INPT, 2016. http://oatao.univ-toulouse.fr/16477/1/Combrexelle.pdf.

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Texture characterization is a central element in many image processing applications. Texture analysis can be embedded in the mathematical framework of multifractal analysis, enabling the study of the fluctuations in regularity of image intensity and providing practical tools for their assessment, the coefficients or wavelet leaders. Although successfully applied in various contexts, multi fractal analysis suffers at present from two major limitations. First, the accurate estimation of multifractal parameters for image texture remains a challenge, notably for small sample sizes. Second, multifr
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12

Zátyik, Ján. "Směrové reprezentace obrazů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-218921.

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Various methods describes an image by specific shapes, which are called basis or frames. With these basis can be transformed the image into a representation by transformation coefficients. The aim is that the image can be described by a small number of coefficients to obtain so-called sparse representation. This feature can be used for example for image compression. But basis are not able to describe all the shapes that may appear in the image. This lack increases the number of transformation coefficients describing the image. The aim of this thesis is to study the general principle of calcula
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13

Zarjam, Pega. "EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG." Queensland University of Technology, 2003. http://eprints.qut.edu.au/15795/.

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This thesis deals with the problem of newborn seizre detection from the Electroencephalogram (EEG) signals. The ultimate goal is to design an automated seizure detection system to assist the medical personnel in timely seizure detection. Seizure detection is vital as neurological diseases or dysfunctions in newborn infants are often first manifested by seizure and prolonged seizures can result in impaired neuro-development or even fatality. The EEG has proved superior to clinical examination of newborns in early detection and prognostication of brain dysfunctions. However, long-term newborn
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Zarjam, Peggy. "EEG Data acquisition and automatic seizure detection using wavelet transforms in the newborn EEG." Thesis, Queensland University of Technology, 2003. https://eprints.qut.edu.au/15795/1/Pega_Zarjam_Thesis.pdf.

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This thesis deals with the problem of newborn seizre detection from the Electroencephalogram (EEG) signals. The ultimate goal is to design an automated seizure detection system to assist the medical personnel in timely seizure detection. Seizure detection is vital as neurological diseases or dysfunctions in newborn infants are often first manifested by seizure and prolonged seizures can result in impaired neuro-development or even fatality. The EEG has proved superior to clinical examination of newborns in early detection and prognostication of brain dysfunctions. However, long-term new
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15

Morais, Edemerson Solano Batista de. "Estudo de Fractalidade e Evolu??o Din?mica de Sistemas Complexos." Universidade Federal do Rio Grande do Norte, 2007. http://repositorio.ufrn.br:8080/jspui/handle/123456789/18610.

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Made available in DSpace on 2015-03-03T15:16:22Z (GMT). No. of bitstreams: 1 EdemersonSBM.pdf: 812078 bytes, checksum: 167690407a20b9462083f00be2b0a159 (MD5) Previous issue date: 2007-12-28<br>Conselho Nacional de Desenvolvimento Cient?fico e Tecnol?gico<br>In this work, the study of some complex systems is done with use of two distinct procedures. In the first part, we have studied the usage of Wavelet transform on analysis and characterization of (multi)fractal time series. We have test the reliability of Wavelet Transform Modulus Maxima method (WTMM) in respect to the multifractal form
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16

Anantharaman, B. "Compressed Domain Processing of MPEG Audio." Thesis, Indian Institute of Science, 2001. https://etd.iisc.ac.in/handle/2005/3914.

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MPEG audio compression techniques significantly reduces the storage and transmission requirements for high quality digital audio. However, compression complicates the processing of audio in many applications. If a compressed audio signal is to be processed, a direct method would be to decode the compressed signal, process the decoded signal and re-encode it. This is computationally expensive due to the complexity of the MPEG filter bank. This thesis deals with processing of MPEG compressed audio. The main contributions of this thesis are a) Extracting wavelet coefficients in the MPEG compres
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Anantharaman, B. "Compressed Domain Processing of MPEG Audio." Thesis, Indian Institute of Science, 2001. http://hdl.handle.net/2005/68.

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MPEG audio compression techniques significantly reduces the storage and transmission requirements for high quality digital audio. However, compression complicates the processing of audio in many applications. If a compressed audio signal is to be processed, a direct method would be to decode the compressed signal, process the decoded signal and re-encode it. This is computationally expensive due to the complexity of the MPEG filter bank. This thesis deals with processing of MPEG compressed audio. The main contributions of this thesis are a) Extracting wavelet coefficients in the MPEG compress
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18

Garboan, Adriana. "Traçage de contenu vidéo : une méthode robuste à l’enregistrement en salle de cinéma." Thesis, Paris, ENMP, 2012. http://www.theses.fr/2012ENMP0097/document.

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Composantes sine qua non des contenus multimédias distribués et/ou partagés via un réseau, les techniques de fingerprinting permettent d'identifier tout contenu numérique à l'aide d'une signature (empreinte) de taille réduite, calculée à partir des données d'origine. Cette signature doit être invariante aux transformations du contenu. Pour des vidéos, cela renvoie aussi bien à du filtrage, de la compression, des opérations géométriques (rotation, sélection de sous-région… ) qu'à du sous-échantillonnage spatio-temporel. Dans la pratique, c'est l'enregistrement par caméscope directement dans une
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19

Urbánek, Pavel. "Komprese obrazu pomocí vlnkové transformace." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236385.

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This thesis is focused on subject of image compression using wavelet transform. The first part of this document provides reader with information about image compression, presents well known contemporary algorithms and looks into details of wavelet compression and following encoding schemes. Both JPEG and JPEG 2000 standards are introduced. Second part of this document analyzes and describes implementation of image compression tool including inovations and optimalizations. The third part is dedicated to comparison and evaluation of achievements.
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20

Kubánková, Anna. "Automatická klasifikace digitálních modulací." Doctoral thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2008. http://www.nusl.cz/ntk/nusl-233424.

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This dissertation thesis deals with a new method for digital modulation recognition. The history and present state of the topic is summarized in the introduction. Present methods together with their characteristic properties are described. The recognition by means of artificial neural is presented in more detail. After setting the objective of the dissertation thesis, the digital modulations that were chosen for recognition are described theoretically. The modulations FSK, MSK, BPSK, QPSK, and QAM-16 are concerned. These modulations are mostly used in modern communication systems. The method d
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21

Gossler, Fabrício Ely [UNESP]. "Wavelets e polinômios com coeficientes de Fibonacci." Universidade Estadual Paulista (UNESP), 2016. http://hdl.handle.net/11449/148776.

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Submitted by FABRÍCIO ELY GOSSLER null (fabricio_ely8@hotmail.com) on 2017-02-09T16:24:59Z No. of bitstreams: 1 Fabrício E. Gossler-Dissertação - Unesp - Feis-PPGEE.pdf: 5023440 bytes, checksum: b5346eb35f509f2283b503acccf22ec3 (MD5)<br>Approved for entry into archive by LUIZA DE MENEZES ROMANETTO (luizamenezes@reitoria.unesp.br) on 2017-02-14T16:08:30Z (GMT) No. of bitstreams: 1 gossler_fe_me_ilha.pdf: 5023440 bytes, checksum: b5346eb35f509f2283b503acccf22ec3 (MD5)<br>Made available in DSpace on 2017-02-14T16:08:30Z (GMT). No. of bitstreams: 1 gossler_fe_me_ilha.pdf: 5023440 bytes, checks
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Gossler, Fabrício Ely. "Wavelets e polinômios com coeficientes de Fibonacci /." Ilha Solteira, 2016. http://hdl.handle.net/11449/148776.

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Orientador: Francisco Villarreal Alvarado<br>Resumo: Existem diferentes tipos de funções wavelets que podem ser utilizadas na Transformada Wavelet. Na maioria das vezes, a função wavelet escolhida para a análise de um determinado sinal vai ser aquela que melhor se ajusta no domínio tempo-frequência do mesmo. Existem vários tipos de funções wavelets que podem ser escolhidas para certas aplicações, sendo que algumas destas pertencem a conjuntos específicos denominados de famílias wavelets, tais como a Haar, Daubechies, Symlets, Morlet, Meyer e Gaussianas. Nesse trabalho é apresentada uma nova fa
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23

Ge, Zhongfu. "Analysis of surface pressure and velocity fluctuations in the flow over surface-mounted prisms." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/25965.

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The full-scale value of the Reynolds number associated with wind loads on structures is of the order of 10^7. This is further complicated by the high levels of turbulence fluctuations associated with strong winds. On the other hand, numerical and wind tunnel simulations are usually carried out at smaller values of Re. Consequently, the validation of these simulations should only be based on physical phenomena derived with tools capable of their identification. In this work, two physical aspects related to extreme wind loads on low-rise structures are examined. The first includes the statistica
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24

Sansonnet, Laure. "Inférence non-paramétrique pour des interactions poissoniennes." Phd thesis, Université Paris Sud - Paris XI, 2013. http://tel.archives-ouvertes.fr/tel-00835427.

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L'objet de cette thèse est d'étudier divers problèmes de statistique non-paramétrique dans le cadre d'un modèle d'interactions poissoniennes. De tels modèles sont, par exemple, utilisés en neurosciences pour analyser les interactions entre deux neurones au travers leur émission de potentiels d'action au cours de l'enregistrement de l'activité cérébrale ou encore en génomique pour étudier les distances favorisées ou évitées entre deux motifs le long du génome. Dans ce cadre, nous introduisons une fonction dite de reproduction qui permet de quantifier les positions préférentielles des motifs et
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Mucha, Martin. "Moderní směrové způsoby reprezentace obrazů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220200.

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Transformation methods are used to describe the image based on defined shapes, which are called bases or frames. Thanks to these shapes it is possible to transform the image with the help of calculated transformation coefficients and further work with this image. It is possible to image denoising, reconstruct the image, transform it and do other things. There are several types of methods of the image processing. In this field a significiant development could be seen. This study is focused on analysis of characteristics of individual well known methods of transformation such as Fouriers´s or Wa
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Montoril, Michel Helcias. "Modelos de regressão com coeficientes funcionais para séries temporais." Universidade de São Paulo, 2013. http://www.teses.usp.br/teses/disponiveis/45/45133/tde-04042013-215702/.

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Nesta tese, consideramos o ajuste de modelos de regressão com coeficientes funcionais para séries temporais, por meio de splines, ondaletas clássicas e ondaletas deformadas. Consideramos os casos em que os erros do modelo são independentes e correlacionados. Através das três abordagens de estimação, obtemos taxas de convergência a zero para distâncias médias entre as funções do modelo e seus respectivos estimadores, propostos neste trabalho. No caso das abordagens de ondaletas (clássicas e deformadas), obtemos também resultados assintóticos em situações mais específicas, nas quais as funções d
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27

Scipioni, Angel. "Contribution à la théorie des ondelettes : application à la turbulence des plasmas de bord de Tokamak et à la mesure dimensionnelle de cibles." Electronic Thesis or Diss., Nancy 1, 2010. http://www.theses.fr/2010NAN10125.

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La nécessaire représentation en échelle du monde nous amène à expliquer pourquoi la théorie des ondelettes en constitue le formalisme le mieux adapté. Ses performances sont comparées à d'autres outils : la méthode des étendues normalisées (R/S) et la méthode par décomposition empirique modale (EMD).La grande diversité des bases analysantes de la théorie des ondelettes nous conduit à proposer une approche à caractère morphologique de l'analyse. L'exposé est organisé en trois parties.Le premier chapitre est dédié aux éléments constitutifs de la théorie des ondelettes. Un lien surprenant est étab
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Scipioni, Angel. "Contribution à la théorie des ondelettes : application à la turbulence des plasmas de bord de Tokamak et à la mesure dimensionnelle de cibles." Thesis, Nancy 1, 2010. http://www.theses.fr/2010NAN10125.

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La nécessaire représentation en échelle du monde nous amène à expliquer pourquoi la théorie des ondelettes en constitue le formalisme le mieux adapté. Ses performances sont comparées à d'autres outils : la méthode des étendues normalisées (R/S) et la méthode par décomposition empirique modale (EMD).La grande diversité des bases analysantes de la théorie des ondelettes nous conduit à proposer une approche à caractère morphologique de l'analyse. L'exposé est organisé en trois parties.Le premier chapitre est dédié aux éléments constitutifs de la théorie des ondelettes. Un lien surprenant est étab
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29

Лавриненко, Олександр Юрійович, Александр Юрьевич Лавриненко та Oleksandr Lavrynenko. "Методи підвищення ефективності семантичного кодування мовних сигналів". Thesis, Національний авіаційний університет, 2021. https://er.nau.edu.ua/handle/NAU/52212.

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Дисертаційна робота присвячена вирішенню актуальної науково-практичної проблеми в телекомунікаційних системах, а саме підвищення пропускної здатності каналу передачі семантичних мовних даних за рахунок ефективного їх кодування, тобто формулюється питання підвищення ефективності семантичного кодування, а саме – з якою мінімальною швидкістю можливо кодувати семантичні ознаки мовних сигналів із заданою ймовірністю безпомилкового їх розпізнавання? Саме на це питання буде дана відповідь у даному науковому дослідженні, що є актуальною науково-технічною задачею враховуючи зростаючу тенденцію д
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Sláma, Adam. "Software pro manuální ostření kamery s rozlišením 4K." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2019. http://www.nusl.cz/ntk/nusl-400900.

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This Master thesis is focused on the analysis of currently used methods which whose target is to determine the rate of image focus. This analysis was used during the development of the program which evaluates the rate of image focus in percentage rate, works in real time and cooperates with a camera capable of 4k image resolution with a manual focus of the lenses. Application is then capable of a finding of a pre-defined image under certain circumstances which is being used for increasing of effectivity of image focusing. Another option is represented by a method that is searching the most sui
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Vedreño, Santos Francisco Jose. "Diagnosis of electric induction machines in non-stationary regimes working in randomly changing conditions." Doctoral thesis, Universitat Politècnica de València, 2013. http://hdl.handle.net/10251/34177.

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Tradicionalmente, la detección de faltas en máquinas eléctricas se basa en el uso de la Transformada Rápida de Fourier ya que la mayoría de las faltas pueden ser diagnosticadas con ella con seguridad si las máquinas operan en condiciones de régimen estacionario durante un intervalo de tiempo razonable. Sin embargo, para aplicaciones en las que las máquinas operan en condiciones de carga y velocidad fluctuantes (condiciones no estacionarias) como por ejemplo los aerogeneradores, el uso de la Transformada Rápida de Fourier debe ser reemplazado por otras técnicas. La presente tesis desarrolla u
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Lue, Ming-Sun, and 呂明山. "EEG Feature Analysis based on Wavelet Coefficients." Thesis, 1997. http://ndltd.ncl.edu.tw/handle/25176893352533451644.

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碩士<br>國立交通大學<br>控制工程系<br>85<br>Most signals in nature have the spectral property which is time-varying. So the Time-Frequency representation is widely used. In this thesis, we will introduce a time-frequency representation method,Wavelet Transform(WT),to analyze the EEG signals. A signal processed by the wavelet transform will result in a two-dimensional atadata array with lots of parameters. From this large amount of parameters,we would like to obtain a few substanti
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Yang, Tsung-Cheng, and 楊宗正. "Fast Restricted Quadtree Triangulation Using Effective Wavelet Coefficients." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/45168965689640813271.

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碩士<br>國立臺灣科技大學<br>資訊管理系<br>88<br>Triangular mesh has been extensively applied in image compression and visual reality in today''s technique. It can provide higher compression ratio, good image quality, fast computational time, and real-time rendering. In this paper, we present an efficient method to construct triangular mesh. First we use wavelet transform to obtain the wavelet coefficients and then analyze and rearrange the wavelet coefficients according their spatio-frequency characteristics to get the effective wavelet coefficients. Second, in order to prevent cracks and get better quality,
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Tseng, Chien-Chang, and 曾建昌. "Rotation Invariant Color Texture Image Retrieval Using Wavelet Coefficients." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/3ad354.

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碩士<br>國立成功大學<br>電機工程學系碩博士班<br>90<br>With the development of the World Wide Web(WWW) and fast computer technology, the use of visual information has become routine in scientific and commercial applications. Every day, large numbers of people are using the Internet for searching and browsing through diverse multimedia database.Due to the limitation of textual annotation based search , the content-based retrieval has been given more attention in recent years.It provides methods to query image database using image features as the basis for the queries. These image features include color, texture a
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Tzeng, Yu-Quan, and 曾昱筌. "A blind wavelet-based watermarking with detail-subband coefficients prediction." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/02642324963306693305.

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碩士<br>長庚大學<br>電機工程學研究所<br>96<br>Recently, the wavelet transform is widely used in multimedia signal processing applications. To provide security solution, the digital watermarking is involved. This study presents a blind wavelet-based watermarking which cooperates with the Human Visual System (HVS) embedding watermarks into detail-subband coefficients. Since the imperceptibility is the most significant issue in watermarking, the approximate band is maintained unchanged, while the other detail subbands are modified to carry information. The perceptual embedded weights for all subbands are deter
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Rahman, S. M. Mahbubur. "Probabilistic modeling of wavelet coefficients for processing of image and video signals." Thesis, 2009. http://spectrum.library.concordia.ca/976389/1/NR63363.pdf.

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Statistical estimation and detection techniques are widely used in signal processing including wavelet-based image and video processing. The probability density function (PDF) of the wavelet coefficients of image and video signals plays a key role in the development of techniques for such a processing. Due to the fixed number of parameters, the conventional PDFs for the estimators and detectors usually ignore higher-order moments. Consequently, estimators and detectors designed using such PDFs do not provide a satisfactory performance. This thesis is concerned with first developing a probabil
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Yung-Chuan, Liao, and 廖永傳. "Group Testing Using Alternative Class Partitions for Embedded Coding of Wavelet Coefficients." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/19812625532602085117.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>93<br>Progressive image compression is widely used in many domains. Group testing is a new concept of progressive image compressing technique. It has been proved to be suitable for image compression. Hong and Lander proposed an image compression algorithm, so called GTW that is primarily based on the concept of group testing. Although no arithmetic coding is involved in this algorithm, GTW has performed competitively with SPIHT’s arithmetic coding variant in terms of rate-distortion performance. We study a series of related papers and analysis the characters of wav
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Cheng, Kuei-Hung, and 鄭貴鴻. "Progressive Wavelet Coefficients Codec System Design and Its Hardware Design and Implementation." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/14670550100519572405.

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碩士<br>國立雲林科技大學<br>電子與資訊工程研究所碩士班<br>92<br>In this paper, a novel shape-adaptive zero tree coding scheme and its hardware realization are presented for the discrete wavelet transform (DWT) based image compression. The shape adaptive scheme can totally eliminate the coding overheads of pixels outside of a video object to save bit rate. The proposed scheme employs a bottom up and breadth first scanning order and each coefficient is examined only once. It can avoid the expensive list buffers required in the SPIHT to save the memory complexity in hardware implementation. The proposed coding scheme i
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Lin, Wen-feng, and 林文峰. "Image Compression - The Scalar and Vector Quantization of The Wavelet Transform Coefficients." Thesis, 1994. http://ndltd.ncl.edu.tw/handle/58388960763484966692.

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碩士<br>中原大學<br>電子工程學系<br>82<br>This thesis mainly focus on the quantization of the wavelet transform coefficients of an image. The possibility of image compression through a wavelet transform is also presented. In this thesis, both scalar and vector quatization techniques are used to quantize the wavelet trransform coefficients. For the scalar quantization, the uniform quantizer is used. The quantized coefficients are encoded by Huffman procedure to futher reduce the bit rate. For the vector
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Sun, Jingjing. "Fabric wrinkle characterization and classification using modified wavelet coefficients and support-vector-machine classifiers." Thesis, 2012. http://hdl.handle.net/2152/ETD-UT-2012-05-5634.

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Wrinkling caused in wearing and laundry procedures is one of the most important performance properties of a fabric. Visual examination performed by trained experts is a routine wrinkle evaluation method in textile industry, however, this subjective evaluation is time-consuming. The need for objective, automatic and efficient methods of wrinkle evaluation has been increasing remarkably in recent years. In the present thesis, a wavelet transform based imaging analysis method was developed to measure the 2D fabric surface data captured by an infrared imaging system. After decomposing the fabric
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Tseng, Chien Tu, and 曾建篤. "High Resolution Wavelet Transform Coefficients And its Application To Resolution Enhancement of Digital Images." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/44828898364997410058.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>88<br>Pixel domain interpolation is the typical method of resolution enhancement of digital images. After enlarging image with interpolation operation, sharp edges usually become aliased. By detecting the edges and compensating, profiles of the interpolated edges can be much smoother. However, the quality of edge detection and compensation method strongly affects quality of the enhancement. Besides, the computation is much complicated. A new approach of resolution enhancement by using the property of Multi-Resolution Analysis through Discrete Wavelet Trans
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LEE, CHUNG-CHI, and 李宗其. "Region-based Image Retrieval Using Watershed Transformation and Region Adjacency Graph for Wavelet Coefficients." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/76790220750023277841.

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碩士<br>國立中正大學<br>資訊工程研究所<br>89<br>Traditional region-based image retrieval systems often use only the dominant features within each region and ignore the useful relationship of neighboring regions. In this paper, we propose a new color region-based image retrieval system using the region relationship. An image is first processed with the wavelet transform to divide the image into several subbands and to extract the important texture information. A new color watershed transformation on not only the luminance wavelet coefficients but also the chromatic wavelet coefficients is performed to accurat
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Xin-MingChen and 陳新明. "ECG Compression Algorithm Based on Best k-coefficients Sparse Decomposition and Discrete Wavelet Transform." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/5qr42c.

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Yu, Kuan-Chi, and 尤冠几. "The Novel Super-Resolution Technology Based on the Wavelet Coefficients Prediction for the Ecological images." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/04423930813232945675.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>103<br>Recently, the super-resolution technologies are often used to assist image recognition. The super-resolution technologies aim at rebuilding the low-resolution images to high-resolution images. The conventional image resolution methods applied linear or non-linear interpolation method to obtain the high resolution images. Then, many types of super-resolution technologies with DFT (Discrete Fourier Transform) or DWT (Discrete Wavelet Transform) and learning-based approaches are proposed to resolution the high-resolution images. However, the above mentioned metho
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Ma, Cheng-Yang, and 馬政揚. "The Novel Super-resolution Technology Based on the Wavelet Coefficients Prediction for the License Plate Images." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/nbd329.

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碩士<br>中華大學<br>資訊工程學系碩士班<br>101<br>The super resolution technology will be applied in the research as the main method to support my concept. The super resolution’s concept is to rebuild the image to high resolution from low resolution image by algorithms. The Compensate for high frequency wavelet coefficients and learning base super resolution technology will be applied in the study to optimize the license plate images from low resolution to high resolution. By using the data characteristics which will occur after wavelet transform, we can rebuild the image into high resolution with high band.
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Chen, Guan-Zhou, and 陳冠州. "SOPC Implementation of a Bit-plane based Modified SPIHT Algorithm for 1-D Wavelet Coefficients Coding." Thesis, 2013. http://ndltd.ncl.edu.tw/handle/63116298028641886409.

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碩士<br>國立高雄第一科技大學<br>電腦與通訊工程研究所<br>101<br>The SPIHT scheme can be very efficient for data inherent in hierarchical self similarities. However, this scheme which exploited the self similarities in terms of dynamic data structures, imposed practical limitation on hardware implementation, especially for large-size data sequences. A Modified Set Partitioning In Hierarchical Trees (MSPIHT) Algorithm was proposed for solving these problems. Different from SPIHT, the MSPIHT used the Bit-Plane and flag concepts, which can reduce memory requirements and speed up the coding process. Besides, three lists
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Phan, Quan. "Design of vibration inspired bi-orthogonal wavelets for signal analysis." Thesis, 2012. http://hdl.handle.net/1911/71679.

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In this thesis, a method to calculate scaling function coefficients for a new bi-orthogonal wavelet family derived directly from an impulse response waveform is presented. In literature, the Daubechies wavelets (DB wavelet) and the Morlet wavelet are the most commonly used wavelets for the dyadic wavelet transform (DWT) and the continuous wavelet transform (CWT), respectively. For a specific vibration signal processing application, a wavelet basis that is similar or is derived directly from the signal being studied proves to be superior to the commonly used wavelet basis. To assure a wavelet b
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Liu, Chia-Chou, and 劉佳洲. "On the Application of the De-noising Method of Stationary Wavelet Coefficients Threshold to Filter Out Noise in Digital Hearing Aids." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/43887541206717616847.

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碩士<br>臺灣大學<br>工程科學及海洋工程學研究所<br>98<br>For a long time, improving the hearing of the hearing-impaired has been what researchers and medical professionals been struggling to achieve. Because there are currently over 200 million deaf or hard of hearing people worldwide, researchers and medical professionals realize the importance of this goal. Fortunately, the gift of technology, from early analog hearing aids to the mainstream of digital hearing aids, has brought about various kinds of flourishing digital signal processing technology. The function of current hearing aids is no longer restricted t
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(6642491), Jingzhao Dai. "SPARSE DISCRETE WAVELET DECOMPOSITION AND FILTER BANK TECHNIQUES FOR SPEECH RECOGNITION." Thesis, 2019.

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<p>Speech recognition is widely applied to translation from speech to related text, voice driven commands, human machine interface and so on [1]-[8]. It has been increasingly proliferated to Human’s lives in the modern age. To improve the accuracy of speech recognition, various algorithms such as artificial neural network, hidden Markov model and so on have been developed [1], [2].</p> <p>In this thesis work, the tasks of speech recognition with various classifiers are investigated. The classifiers employed include the support vector machine (SVM), k-nearest neighbors (KNN), random forest (RF
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Lee, Wen-Li, and 李文禮. "Applications of Wavelet Coefficient Estimation in Medical Image Enhancement." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/19027423592773343441.

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博士<br>國立東華大學<br>電機工程學系<br>99<br>Medical images provide clinical information for facilitating diagnostic accuracy and treatment process. Clear image detail is essential and can provide better information for visualization. When the information in medical images is not satisfactory to viewers, image enhancement can be used to improve visual perception on the images. However, over-enhancement or under-enhancement could happen in some images. Moreover, the information obtained via visual inspection on the enhanced images can be varied by each viewer because the preference of visual perception is i
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