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Rozprawy doktorskie na temat „Wavelet Transform and Wavelet Thresholding”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Soares, Wendel Cleber [UNESP]. "Um método não-limiar para redução de ruído em sinais de voz no domínio wavelet." Universidade Estadual Paulista (UNESP), 2009. http://hdl.handle.net/11449/100309.

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Made available in DSpace on 2014-06-11T19:30:50Z (GMT). No. of bitstreams: 0 Previous issue date: 2009-05-29Bitstream added on 2014-06-13T20:21:16Z : No. of bitstreams: 1 soares_wc_dr_ilha.pdf: 2948445 bytes, checksum: cf47c579c7e9a4f2d231373d9ed5f704 (MD5)<br>Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)<br>Neste trabalho é feito um estudo dos métodos de redução de ruído aditivo em sinais de voz baseados em wavelets e, através deste estudo, propõe-se um novo método não-limiar para redução de ruído em sinais de voz no domínio wavelet. Em geral os sinais de voz podem es

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Soares, Wendel Cleber. "Um método não-limiar para redução de ruído em sinais de voz no domínio wavelet /." Ilha Solteira : [s.n.], 2009. http://hdl.handle.net/11449/100309.

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Resumo: Neste trabalho é feito um estudo dos métodos de redução de ruído aditivo em sinais de voz baseados em wavelets e, através deste estudo, propõe-se um novo método não-limiar para redução de ruído em sinais de voz no domínio wavelet. Em geral os sinais de voz podem estar contaminados com ruídos artificiais ou reais. O problema consiste que dado um sinal limpo adiciona-se o ruído branco ou colorido, obtendo assim o sinal ruidoso, ambos no domínio do tempo. O que se propõe neste trabalho, é aplicar a transformada wavelet, obtendo assim o sinal transformado no domínio wavelet, reduzindo ou a

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Behjat, Hamid. "Statistical Parametric Mapping of fMRI data using Spectral Graph Wavelets." Thesis, Linköpings universitet, Medicinsk informatik, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-81143.

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In typical statistical parametric mapping (SPM) of fMRI data, the functional data are pre-smoothed using a Gaussian kernel to reduce noise at the cost of losing spatial specificity. Wavelet approaches have been incorporated in such analysis by enabling an efficient representation of the underlying brain activity through spatial transformation of the original, un-smoothed data; a successful framework is the wavelet-based statistical parametric mapping (WSPM) which enables integrated wavelet processing and spatial statistical testing. However, in using the conventional wavelets, the functional d

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Herrmann, Felix J., and Gilles Hennenfent. "Non-linear data continuation with redundant frames." Canadian Society of Exploration Geophysicists, 2005. http://hdl.handle.net/2429/518.

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We propose an efficient iterative data interpolation method using continuity along reflectors in seismic images via curvelet and discrete cosine transforms. The curvelet transform is a new multiscale transform that provides sparse representations for images that comprise smooth objects separated by piece-wise smooth discontinuities (e.g. seismic images). The advantage of using curvelets is that these frames are sparse for high-frequency caustic-free solutions of the wave-equation. Since we are dealing with less than ideal data (e.g. bandwidth-limited), we compliment the curvelet frames with th

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Čišecký, Roman. "Metody pro odstranění šumu z digitálních obrazů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219769.

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The master's thesis is concerned with digital image denoising methods. The theoretical part explains some elementary terms related to image processing, image noise, categorization of noise and quality determining criteria of denoising process. There are also particular denoising methods described, mentioning their advantages and disadvantages in this paper. The practical part deals with an implementation of the selected denoising methods in a Java, in the environment of application RapidMiner. In conclusion, the results obtained by different methods are compared.

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Amghar, Mohamed. "Multiscale local polynomial transforms in smoothing and density estimation." Doctoral thesis, Universite Libre de Bruxelles, 2017. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/262040.

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Un défi majeur dans les méthodes d'estimation non linéaire multi-échelle, comme le seuillage des ondelettes, c'est l'extension de ces méthodes vers une disposition où les observations sont irrégulières et non équidistantes. L'application de ces techniques dans le lissage de données ou l'estimation des fonctions de densité, il est crucial de travailler dans un espace des fonctions qui impose un certain degré de régularité. Nous suivons donc une approche différente, en utilisant le soi-disant système de levage. Afin de combiner la régularité et le bon conditionnement numérique, nous adoptons un

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Čáp, Martin. "Sledování trendů elektrické aktivity srdce časově-frekvenčním rozkladem." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2009. http://www.nusl.cz/ntk/nusl-218005.

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Work is aimed at the time-frequency decomposition of a signal application for monitoring the EKG trend progression. Goal is to create algorithm which would watch changes in the ST segment in EKG recording and its realization in the Matlab program. Analyzed is substance of the origin of EKG and its measuring. For trend calculations after reading the signal is necessary to preprocess the signal, it consists of filtration and detection of necessary points of EKG signal. For taking apart, also filtration and measuring the signal is used wavelet transformation. Source of the data is biomedicine dat

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Mrázek, Jiří. "Filtrace signálů EKG pomocí vlnkové transformace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219528.

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This thesis deals myopotential denoising of ECG signals with using wavelet transform. There was used wavelet denoising subsequently wiener wavelet filtering. In both cases were found the most suitable coeficients for the best denoising. It is meant mainly settings suitable parameters for ideal filtration setting value of threshold, number of decomposition level, selection of thresholding and type of filter. These parameters are tested on real signals. Denoising is realized in Matlab version R2009b.

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Oliveira, Helder Cesar Rodrigues de. "Proposta de redução da dose de radiação na mamografia digital utilizando novos algoritmos de filtragem de ruído Poisson." Universidade de São Paulo, 2016. http://www.teses.usp.br/teses/disponiveis/18/18152/tde-29032016-160603/.

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O objetivo deste trabalho é apresentar um novo método para a remoção do ruído Poisson em imagens de mamografia digital adquiridas com baixa dosagem de radiação. Sabe-se que a mamografia por raios X é o exame mais eficiente para a detecção precoce do câncer de mama, aumentando consideravelmente as chances de cura da doença. No entanto, a radiação absorvida pela paciente durante o exame ainda é um problema a ser tratado. Estudos indicam que a exposição à radiação pode induzir a formação do câncer em algumas mulheres radiografadas. Apesar desse número ser significativamente baixo em relação ao nú

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T, Kovács Matúš. "Segmentace v mikroskopických obrazech z rostlinných preparátů." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218723.

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This thesis deals with the segmentation of microscopic images from plant sections. It describes the importance of the histogram for obtaining information from the image, and the utilization of the wavelet transformation for the preprocessing of the images. The thesis describes and categorizes different segmentation methods. In the thesis we use MATLAB for the validation of the presented theories and as the interface for creating a software model. The created software application automatically analyzes and evaluates microscopic images.

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Valouch, Lukáš. "Implementace vlnkové transformace v jazyku C++." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2011. http://www.nusl.cz/ntk/nusl-219301.

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The aim of this thesis is implementation of wavelet transform algorithm for noise reduction. The noise reduction itself is focused on improving informative capabilities of sonographic (ultrasound) images in medicine. For this purpose, thresholding of detailed coefficients on individual levels of multiresolution analysis was used. Common procedures were not used for searching for the most suitable thresholds of those levels. The alternative concept's design is based on fundamental empirical approach, where the individual thresholds are optimised by evolution algorithms. However, with this algor

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Novotný, Radek. "Aplikace waveletové transformace v software Mathematica a Sage." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2013. http://www.nusl.cz/ntk/nusl-220339.

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This thesis focuses on image processing using wavelet transform. The usage of wavelet transform is analysed especially for image compression and image noise reduction purposes. The analysis describes in detail aspects and application of the following wavelet transform methods: CWT, DWT, DTWT, 2D DWT. The thesis further explains the meaning of the mother wavelet and studies certain specific kinds of wavelets, kinds of thresholding and its purposes and also touches on the JPEG2000 standard. Mathematica and Sage software packages were used to design algorithms for image compression and image nois

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Janovič, Tomáš. "Tvarová klasifikace pro detekci chybně segmentovaných kostí v CT datech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2014. http://www.nusl.cz/ntk/nusl-220852.

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The thesis discusses the possibilities of using contour shape classification for detection of mis-segmented bones in computed tomography (CT) data. In the first part there are presented published methods and algorithms which deal with the segmentation of bone structures in CT data. Then segmentation of cortical bones is implemented by a simple thresholding with global threshold. The threshold is determined by the optimized fitting of a selected type probability distribution to the histogram. Subsequently, the thesis describes some important shape descriptors that can quantitatively describe th

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Novotný, Jiří. "Filtrace svalového rušení v EKG signálech." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2015. http://www.nusl.cz/ntk/nusl-221363.

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This master's thesis deals with the optimization of numerical coefficients of the Wiener filter for muscle noise filtering in ECG signals. The theoretical part deals with ECG signal characteristic and muscle interference. It also contains a summary of the wavelet transform, wavelet Wiener's filtration, methods for calculating of the threshold and thresholding. In the last theoretical part the characteristic optimization techniques, the exhausive search and Nelder-Mead simplex method are mentioned, which were implemented in the practical part of this thesis in MATLAB. The functional verificatio

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Walczysko, Martin. "Segmentace cév v obrazech sítnice." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218767.

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This thesis deals with method of blood vessels segmentation from retinal images acquired by fundus camera. There is explored possibility of using wavelet transform as fast outline segmentation. The thesis includes study problems of preprocessing input image and decomposition of image using 2D DWT. Furthermore there is explored possibility of parametrical images thresholding that ensue from application of 2D DWT. There are designed algorithms for cleaning off artifacts from rough vessel map of blood vessel structures. The realization of algorithm was solved in programming environment MATLAB. Th

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Loviška, David. "Detekce QRS komplexu s využitím vlnkové transformace." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2010. http://www.nusl.cz/ntk/nusl-218652.

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The aim of diploma thesis named “QRS detection using wavelet transform” is to simplify and accelerate the work of doctors. This can be achieved by using application for QRS detection, which can use one of four proposed algorithms. Application shows basic informations about inserted electrocardiogram. Part of this program is a graphical window with displayed record and with coloured marks on detected QRS complexes. By another algorythm are marks color-coded due to accurancy percentil of every detected complex. This program is designed for a several hours record from Holter ECG monitoring.

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Kovac, Arne. "Wavelet thresholding for unequally time-spaced data." Thesis, University of Bristol, 1999. http://hdl.handle.net/1983/2088715a-7792-4032-bb76-83e3b0389b94.

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Anton, Wirén. "The Discrete Wavelet Transform." Thesis, Mälardalens högskola, Akademin för utbildning, kultur och kommunikation, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-55063.

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In this thesis we will explore the theory behind wavelets. The main focus is on the discrete wavelet transform, although to reach this goal we will also introduce the discrete Fourier transform as it allow us to derive important properties related to wavelet theory, such as the multiresolution analysis. Based on the multiresolution it will be shown how the discrete wavelet transform can be formulated and show how it can be expressed in terms of a matrix. In later chapters we will see how the discrete wavelet transform can be generalized into two dimensions, and discover how it can be used in i

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Huang, Wensheng. "Wavelet Transform Adaptive Signal Detection." NCSU, 1999. http://www.lib.ncsu.edu/theses/available/etd-19991104-151423.

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<p>Wavelet Transform Adaptive Signal Detection is a signal detection method that uses the Wavelet Transform Adaptive Filter (WTAF). The WTAF is the application of adaptive filtering on the subband signals obtained by wavelet decomposition and reconstruction. The WTAF is an adaptive filtering technique that leads to good convergence and low computational complexity. It can effectively adapt to non-stationary signals, and thus could find practical use for transient signals. Different architectures for implementing the WTAF were proposed and studied in this dissertation. In terms of the type of t

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Ghafoori, Elyar. "Wavelet transform and neural network." Thesis, California State University, Long Beach, 2014. http://pqdtopen.proquest.com/#viewpdf?dispub=1527935.

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<p> Automatic and accurate detection of Atrial Fibrillation (AF) from the noninvasive ECG signal is imperative in Electrocardiography. AF is mainly reflected in the ECG signal with the absence of P wave and/or irregular RR intervals. Signal processing tools can assess such detailed changes in the ECG, leading to an accurate diagnosis of AF. The proposed method relies on proper noise filtering, Stationary Wavelet Transform, and signal Power Spectrum Estimation. A feature extraction technique and a Neural Network classifier have been employed to determine the presence and absence of the AF episo

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Xiao, Panrong. "Image compression by wavelet transform." [Johnson City, Tenn. : East Tennessee State University], 2001. http://etd-submit.etsu.edu/etd/theses/available/etd-0711101-121206/unrestricted/xiaop0720.pdf.

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Yilmaz, Sener. "Generalized Area Tracking Using Complex Discrete Wavelet Transform: The Complex Wavelet Tracker." Phd thesis, METU, 2007. http://etd.lib.metu.edu.tr/upload/3/12608643/index.pdf.

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In this work, a new method is proposed that can be used for area tracking. This method is based on the Complex Discrete Wavelet Transform (CDWT) developed by Magarey and Kingsbury. The CDWT has its advantages over the traditional Discrete Wavelet Transform such as approximate shift invariance, improved directional selectivity, and robustness to noise and illumination changes. The proposed method is a generalization of the CDWT based motion estimation method developed by Magarey and Kingsbury. The Complex Wavelet Tracker extends the original method to estimate the true motion of regions accord

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Grzeszczak, Aleksander. "VLSI architecture for Discrete Wavelet Transform." Thesis, University of Ottawa (Canada), 1995. http://hdl.handle.net/10393/9908.

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In this thesis, we present a new simple and efficient VLSI architecture (DWT-SA) for computing the Discrete Wavelet Transform. The proposed architecture is systolic in nature, modular and extendible to 1-D or 2-D DWT transform of any size. The DWT-SA has been designed, simulated and implemented in silicon. The following are the features of the DWT-SA architecture: (1) It has an efficient (close to 100%) hardware utilization. (2) It works with data streams of arbitrary size. (3) The design is cascadable, for computation of one, two or three dimensional DWT. (4) It requires a minimum interface c

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Mudry, Andrew H. "Speaker identification using the wavelet transform." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1997. http://www.collectionscanada.ca/obj/s4/f2/dsk2/ftp04/mq22123.pdf.

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Watkins, Lanier A. "Modulation characterization using the wavelet transform." DigitalCommons@Robert W. Woodruff Library, Atlanta University Center, 1997. http://digitalcommons.auctr.edu/dissertations/640.

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The focus of this research is to establish an Automatic Modulation Identifier (AMI) using the Continuous Wavelet Transform (CWT) and several different classifiers. A Modulation Identifier is of particular interest to the military, because it has the potential to quickly discriminate between different communication waveforms. The CWT is used to extract characterizing information from the signal, and an artificial Neural Network is trained to identify the modulation type. Various analyzing wavelets and various classifiers were used to assess comparative performance. The analyzing wavelets used w

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Mudry, Andrew H. (Andrew Henry) Carleton University Dissertation Engineering Electronics. "Speaker identification using the wavelet transform." Ottawa, 1997.

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Schremmer, Claudia. "Multimedia applications of the wavelet transform." [S.l. : s.n.], 2002. http://www.bsz-bw.de/cgi-bin/xvms.cgi?SWB10605021.

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Yoon, Weon-Ki. "Power measurements via the wavelet transform /." free to MU campus, to others for purchase, 1998. http://wwwlib.umi.com/cr/mo/fullcit?p9924949.

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Peyton, William M. "Multiresolution image recognition using the wavelet transform." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1996. http://handle.dtic.mil/100.2/ADA316566.

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Thesis (M.S. in Electrical Engineering and Electrical Engineer) Naval Postgraduate School, June 1996.<br>Thesis advisor(s): Murali Tummala. "June 1996." Includes bibliographical references. Also Available online.

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Vai, Mang I. "Detecting ECG late potentials using wavelet transform." Thesis, University of Macau, 2002. http://umaclib3.umac.mo/record=b1637077.

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Sari, Huseyin. "Motion Estimation Using Complex Discrete Wavelet Transform." Master's thesis, METU, 2003. http://etd.lib.metu.edu.tr/upload/1223205/index.pdf.

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The estimation of optical flow has become a vital research field in image sequence analysis especially in past two decades, which found applications in many fields such as stereo optics, video compression, robotics and computer vision. In this thesis, the complex wavelet based algorithm for the estimation of optical flow developed by Magarey and Kingsbury is implemented and investigated. The algorithm is based on a complex version of the discrete wavelet transform (CDWT), which analyzes an image through blocks of filtering with a set of Gabor-like kernels with different scales and orientations

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Ma, Yanjun. "Medical Image Fusion Based on Wavelet Transform." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4245.

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Medical image is a core step of medical diagnosis and has been diffusely applied in modern medical domain. The technology of modern medical image is more and more mature which could present images in different modes and features. Medical image fusion is the technology that could compound two mutual images into one according to certain rules to achieve clear visual effect. By observing medical fusion image, doctor could easily confirm the position of illness. According to the mutual features of CT medical image and MRI medical image, based on the technology of wavelet transform, the paper prese

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Murray, Kevin B. "Wavelet transform analysis of turbulent wake flows." Thesis, Edinburgh Napier University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.322272.

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Goh, Kwong Huang. "Wavelet transform based image and video coding." Thesis, University of Strathclyde, 1994. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.387720.

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LOUREIRO, FELIPE PRADO. "ACOUSTIC MODELING IN THE WAVELET TRANSFORM DOMAIN." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 2004. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=4915@1.

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PETRÓLEO BRASILEIRO S. A.<br>O processamento de sinais sísmicos é peça chave na exploração petrolífera. O caminho entre aquisição de dados e interpretação sísmica é composto por uma trilha de processos interdependentes, entre eles os processos de modelagem e migração. A dissertação apresenta a composição de um algoritmo de modelagem acústica 2D no domínio da transformada wavelet a partir de ferramentas próprias e outras já existentes na literatura. São estabelecidas as aproximações necessárias à solução em meios heterogêneos e à independência entre os subdomínios de processamento. Es

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Waldspurger, Irène. "Wavelet transform modulus : phase retrieval and scattering." Thesis, Paris, Ecole normale supérieure, 2015. http://www.theses.fr/2015ENSU0036/document.

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Les tâches qui consistent à comprendre automatiquement le contenu d’un signal naturel, comme une image ou un son, sont en général difficiles. En effet, dans leur représentation naïve, les signaux sont des objets compliqués, appartenant à des espaces de grande dimension. Représentés différemment, ils peuvent en revanche être plus faciles à interpréter. Cette thèse s’intéresse à une représentation fréquemment utilisée dans ce genre de situations, notamment pour analyser des signaux audio : le module de la transformée en ondelettes. Pour mieux comprendre son comportement, nous considérons, d’un p

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Tsakiroglou, Evangelia. "Wavelet-based parametric spectrum estimation." Thesis, Imperial College London, 2001. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.342234.

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Niemöller, Andreas. "Die Wavelet-Analyse als chemometrisches Werkzeug - The wavelet transform as a tool in chemometrics." Gerhard-Mercator-Universitaet Duisburg, 2002. http://www.ub.uni-duisburg.de/ETD-db/theses/available/duett-06122002-115451/.

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In most cases chemometric methods (PCA, PCR, PLS) are used for data modelling when NIR-spectrometry is applied for analytical purposes. This work is about the application of the wavelet-transform as a tool in chemometrics for analysing NIR-spectra. Beside aspects of data pretreatment, like smoothing of NIR-spectra, and data compression the focus was set on NIR-analysis using wavelet-transformed NIR-spectra. A new method for building multivariate calibration models based on wavelet-coefficients selected by a genetic algorithm is introduced. In addition the results obtained by calibrating wavele

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Quan, Jin. "Image Denoising of Gaussian and Poisson Noise Based on Wavelet Thresholding." University of Cincinnati / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1380556846.

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Wood, Mark. "Discriminant analysis using wavelet derived features." Thesis, University of Aberdeen, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.252149.

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This thesis examines the ability of the wavelet transform to form features which may be used successfully in a discriminant analysis. We apply our methods to two different data sets and consider the problem of selecting the 'best' features for discrimination. In the first data set, our interest is in automatically recognising the variety of a carrot from an image. After necessary image preprocessing we examine the usefulness of shape descriptors and texture features for discrimination. We show that it is better to use the different 'types' of features separately, and that the wavelet coefficie

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Rangaswamy, Vidya. "Phoneme Recognition Using Wavelet Packets." Digital Archive @ GSU, 2006. http://digitalarchive.gsu.edu/cs_theses/16.

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Life would be much easier if there were no typing involved in preparing a document, typing an email, paying online bills, entering credit card details, booking flights, hotels or car rentals online. Imagine a system that would recognize speech and convert it into another form to do these functions automatically. The fact that most people can speak faster than they can type gives a good reason to have a speech recognizer. This thesis concentrates on developing a speaker independent, speech recognizer using Wavelet Packet Transform. Speech corpus in the form of phonemes is collected from an Amer

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Yi, Chih-Wei, and 易志偉. "Wavelet Transform, Wavelet Packet and Applications." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/24396936210917707441.

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"Robust wavelet thresholding for noise suppression." Massachusetts Institute of Technology, Laboratory for Information and Decision Systems, 1996. http://hdl.handle.net/1721.1/3446.

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I.C. Schick, H. Krim.<br>Cover title.<br>Includes bibliographical references (p. 4).<br>Supported in part by the Army Research Office DAAL-03-92-G-115 Supported in part by the Air Force Office of Scientific Research. F49620-95-1-0083, BU GC12391NGD

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Hong, Po-Sheng, and 洪博勝. "The Study of Wavelet Transform and Embedded Zerotree Wavelet Codec." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/79966812056968428112.

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碩士<br>長庚大學<br>電機工程研究所<br>90<br>With the progress of science and technology, the application range of digital images becomes more and more popular. However, the amount of data in a digital image is very large, so it is not practical to store and transmit a digital image in its original form. In general, a digital image needs to be compressed before it is stored or transmitted. One efficient method of image compression is to transform the digital image into signal bands with the wavelet transform, and then encode the signal bands with the EZW (Embedded Zero tree Wavelet) encoding sche

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Yang, Min-Ta, and 楊明達. "The VLSI Design of Discrete Wavelet Transform and Inverse Discrete Wavelet Transform for JPEG2000." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/93707017269338386899.

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碩士<br>國立交通大學<br>電機與控制工程系<br>91<br>The discrete wavelet transform (DWT) technique has been widely used in signal processing and image processing. Since the DWT coefficients have the property of energy conservation in the low frequency part, it is suitable for data compression. In the recent industry standard, DWT has replaced DCT which is a main approach in image compression in JPEG2000 and MPEG4. Due to the drawback, the thesis focuses on the hardware architectures of 1-layer 1- dimensional DWT, multi-layer 1-dimensional DWT and Multi-layer 2-dimensional DWT which are the standard o

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"Image Compression By Wavelet Transform." East Tennessee State University, 2001. http://etd-submit.etsu.edu/etd/theses/available/etd-0711101-121206/.

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"Parallelization of fast wavelet transform." Chinese University of Hong Kong, 1994. http://library.cuhk.edu.hk/record=b5895460.

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Shum Yu Hing.<br>Thesis (M.Phil.)--Chinese University of Hong Kong, 1994.<br>Includes bibliographical references (leaves 140-143).<br>ABSTRACT --- p.1<br>Chapter 1. --- INTRODUCTION<br>Chapter 1.1. --- Fourier Analysis --- p.3<br>Chapter 1.2. --- Wavelet Analysis --- p.6<br>Chapter 1.3. --- Parallelization --- p.10<br>Chapter 1.3.1. --- Data Dependency Analysis<br>Chapter 2. --- LITERATURE SURVEY<br>Chapter 2.1. --- One Dimensional Fast Wavelet Transform (Discrete) --- p.13<br>Chapter 2.2. --- Shared Memory Architecture : Parallel Virtual Machine (PVM)<br>Chapter 2.3. --- Distributed Memo

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MING, CHANG KUANG, and 張光銘. "Texture Classification using Wavelet Transform." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/95894092784855595545.

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碩士<br>中華大學<br>電機工程學系碩士班<br>91<br>In the last decade , discrete wavelet transform (DWT) has proven to be a useful technique for a wide range of applications including signal analysis, signal compression , pattern recognition, biomedicine, and numerical analysis. In recent studies on image analysis an increasing effort has been carried out in the area of wavelet transform techniques for the discrimination and classification of textural images. This thesis presents an approach to the characterization of texture properties at multiple scales using the wavelet transform with

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Der, Lin Jen, and 林仁得. "Motion Estimation Using Wavelet Transform." Thesis, 1993. http://ndltd.ncl.edu.tw/handle/57854011942187962832.

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Yu-ZhangYang and 楊玉章. "The Study of Pile Integrity Test Using Discrete Wavelet Transform and Complex Continuous Wavelet Transform." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/47t9e9.

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博士<br>國立成功大學<br>土木工程學系<br>106<br>The purpose of this research is to study in defect detecting for the concrete piles, offering the NDT methods to find out the defects whose size are less than 10%. The restriction of the signal analysis for traditional reflection method is that the small defects are not easy to be found. In this research, there are two ways to detect the defects of pile. The first method, the discrete wavelet transform (DWT) is applied in IR method. The results show that the defect is determined by introducing the DWT based procedure which would reduce the effects of the noise

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