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Dissertations / Theses on the topic 'Wavelet entropy'

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Published: 3 June 2025
Last updated: 31 July 2025

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1

Yi, Ju Y. "Definition and Construction of Entropy Satisfying Multiresolution Analysis (MRA)." DigitalCommons@USU, 2016. https://digitalcommons.usu.edu/etd/5057.

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This paper considers some numerical schemes for the approximate solution of conservation laws and various wavelet methods are reviewed. This is followed by the construction of wavelet spaces based on a polynomial framework for the approximate solution of conservation laws. Construction of a representation of the approximate solution in terms of an entropy satisfying Multiresolution Analysis (MRA) is defined. Finally, a proof of convergence of the approximate solution of conservation laws using the characterization provided by the basis functions in the MRA will be given.
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2

SILVA, MARCUS VINICIUS FONSECA DE ARAUJO. "IMAGE COMPRESSION USING WAVELET TRANSFORM AND TRELLIS CODE VECTOR QUANTIZATION WITH ENTROPY CONSTRAINT." PONTIFÍCIA UNIVERSIDADE CATÓLICA DO RIO DE JANEIRO, 1998. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=8684@1.

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COORDENAÇÃO DE APERFEIÇOAMENTO DO PESSOAL DE ENSINO SUPERIOR<br>MINISTÉRIO DA EDUCAÇÃO<br>Essa dissertação apresenta um codificador de imagens para baixas taxas de bits utilizando a decomposição da imagem em 10 sub-bandas através da aplicação da transformada wavelet. Uma técnica de redução de irrelevância visual é usada para descartar blocos de coeficientes das sub-bandas de alta freqüência (2 a 10). Os blocos remanescentes são classificados em bordas e não bordas e codificados através da técnica ECTCVQ ( Entropy-Constrained Trellis Coded Vector Quantization). Já a primeira sub-banda é
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3

SILVA, Israel Batista Freitas da. "Representações cache eficientes para índices baseados em Wavelet trees." Universidade Federal de Pernambuco, 2016. https://repositorio.ufpe.br/handle/123456789/21050.

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Submitted by Rafael Santana (rafael.silvasantana@ufpe.br) on 2017-08-30T19:22:34Z No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Israel Batista Freitas da Silva.pdf: 1433243 bytes, checksum: 5b1ac5501cae385e4811343e1426e6c9 (MD5)<br>Made available in DSpace on 2017-08-30T19:22:34Z (GMT). No. of bitstreams: 2 license_rdf: 811 bytes, checksum: e39d27027a6cc9cb039ad269a5db8e34 (MD5) Israel Batista Freitas da Silva.pdf: 1433243 bytes, checksum: 5b1ac5501cae385e4811343e1426e6c9 (MD5) Previous issue date: 2016-12-12<br>CNPQ, FACEPE.<br>Hoje em d
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Budihal, Prasad Adhokshaja Achar. "Region of Interest Based Compression of Grayscale Images." Scholar Commons, 2015. http://scholarcommons.usf.edu/etd/5842.

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Image compression based on Region of Interest (ROI) has been one of the hot topics of interest in image processing. There is not a single widely accepted method for detecting the ROI automatically form an image. To reduce the transmission bandwidth and storage space requirements of gray scale images, an algorithm is suggested for detecting the ROI automatically based on Tsallis entropy method. Tsallis entropy method is used to segment the image into two segments, the ROI and the background. These two segments can then be compressed at different rates, to avoid losing information in the ROI whi
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5

Goulart, Antonio José Homsi. "Classificação automática de gênero musical baseada em entropia e fractais." Universidade de São Paulo, 2012. http://www.teses.usp.br/teses/disponiveis/18/18153/tde-16032012-152801/.

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A classificação automática de gênero musical tem como finalidade o conforto de ouvintes de músicas auxiliando no gerenciamento das coleções de músicas digitais. Existem sistemas que se baseiam em cabeçalhos de metadados (tais como nome de artista, gênero cadastrado, etc.) e também os que extraem parâmetros dos arquivos de música para a realização da tarefa. Enquanto a maioria dos trabalhos do segundo tipo utilizam-se do conteúdo rítmico e tímbrico, este utiliza-se apenas de conceitos da teoria da informação e da geometria de fractais. Entropia, lacunaridade e dimensão do fractal são os parâmet
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6

Vitor, Avyner Lorran de Oliveira. "Detecção de falhas de estator em motores de indução trifásicos utilizando transformada wavelet, medida RMS e potência de previsão." Universidade Tecnológica Federal do Paraná, 2015. http://repositorio.utfpr.edu.br/jspui/handle/1/3194.

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O Motor de Indução Trifásico é a máquina elétrica mais utilizada no ambiente industrial. Trata-se de um equipamento que apresenta construção robusta, facilidade de manutenção, baixo custo de aquisição e confiabilidade. Contudo, em ambiente fabril, o mesmo está exposto a esforços térmicos, elétricos e mecânicos indesejáveis, os quais, com o passar do tempo, resultam em uma falha. A presente pesquisa consiste em analisar a falha de curto-circuito de estator, uma das falhas mais recorrentes em motores de indução. Para tanto, são investigadas as peculiaridades refletidas nos sinais de corrente est
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7

Yang, Jin. "A Dynamic and Thermodynamic Approach to Complexity." Thesis, University of North Texas, 2003. https://digital.library.unt.edu/ark:/67531/metadc4276/.

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The problem of establishing the correct approach to complexity is a very hot and crucial issue to which this dissertation gives some contributions. This dissertation considers two main possibilities, one, advocated by Tsallis and co-workers, setting the foundation of complexity on a generalized, non-extensive , form of thermodynamics, and another, proposed by the UNT Center for Nonlinear Science, on complexity as a new condition that, for physical systems, would be equivalent to a state of matter intermediate between dynamics and thermodynamics. In the first part of this dissertation, the conc
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8

Silva, Lyvia Regina Biagi. "Classificação de falhas em maquinas eletricas usando redes neurais, modelos wavelet e medidas de informação." Universidade Tecnológica Federal do Paraná, 2014. http://repositorio.utfpr.edu.br/jspui/handle/1/1201.

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CAPES; CNPq<br>Este trabalho apresenta uma proposta de metodologia para detecção e classificação de falhas em motores de indução trifásicos ligados diretamente à rede elétrica. O método proposto é baseado na análise dos sinais de corrente do estator, com e sem a presença de falhas nos rolamentos, estator e rotor. Um dos efeitos desses tipos de falhas é o aparecimento de componentes de frequência específicas, relacionados à velocidade de rotação da máquina. Os sinais foram analisados usando a decomposição wavelet-packet, que permite a avaliação dos sinais em bandas de frequência de tamanhos var
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9

St-Amant, Gabrielle. "Understanding the Hemodynamic Response and Sensory Contributions to Automatic Postural Control." Thesis, Université d'Ottawa / University of Ottawa, 2019. http://hdl.handle.net/10393/39554.

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The postural control-cognition dual-task literature has demonstrated greater postural stability through the examination of multiple kinetic and kinematic measures. Recently, sample entropy (SampEn) and wavelet discrete transform have supported the claim of automaticity, as higher SampEn values and a shift toward higher contribution from automatic sensory systems have been demonstrated in dual-task settings. In order to understand the cortical component of postural control, functional near-infrared spectroscopy (fNIRS) has been used to identify cortical activation under postural control conditi
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10

Li, Jing. "Digital Signal Characterization for Seizure Detection Using Frequency Domain Analysis." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-296861.

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Nowadays, a significant proportion of the population in the world is affected by cerebral diseases like epilepsy. In this study, frequency domain features of electroencephalography (EEG) signals were studied and analyzed, with a view being able to detect epileptic seizures more easily. The power spectrum and spectrogram were determined by using fast fourier transform (FFT) and the scalogram was found by performing continuous wavelet transform (CWT) on the testing EEG signal. In addition, two schemes, i.e. method 1 and method 2, were implemented for detecting epileptic seizures and the applicab
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11

Kasaei, Shohreh. "Fingerprint analysis using wavelet transform with application to compression and feature extraction." Thesis, Queensland University of Technology, 1998. https://eprints.qut.edu.au/36053/7/36053_Digitised_Thesis.pdf.

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The main goal of this research is to design an efficient compression al~ gorithm for fingerprint images. The wavelet transform technique is the principal tool used to reduce interpixel redundancies and to obtain a parsimonious representation for these images. A specific fixed decomposition structure is designed to be used by the wavelet packet in order to save on the computation, transmission, and storage costs. This decomposition structure is based on analysis of information packing performance of several decompositions, two-dimensional power spectral density, effect of each frequency
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12

Mettke, Philipp. "Vorhersagbarkeit ökonomischer Zeitreihen auf verschiedenen zeitlichen Skalen." Bachelor's thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2016. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-197876.

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This thesis examines three decomposition techniques and their usability for economic and financial time series. The stock index DAX30 and the exchange rate from British pound to US dollar are used as representative economic time series. Additionally, autoregressive and conditional heteroscedastic simulations are analysed as benchmark processes to the real data. Discrete wavelet transform (DWT) uses wavelike functions to adapt the behaviour of time series on different time scales. The second method is the singular spectral analysis (SSA), which is applied to extract influential reconstructed m
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13

Mohammed, Abdulwasey. "Scaling up of peatland methane emission hotspots from small to large scales." Thesis, University of Edinburgh, 2015. http://hdl.handle.net/1842/15772.

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Methane is an important greenhouse gas that is relatively long-lived in the atmosphere, and wetlands are a major natural source of atmospheric methane. Methane emissions from wetlands are variable across both space and time at scales ranging from meters to continents and a comprehensive accounting of wetland methane efflux is critical for quantifying the atmospheric methane balance. Major uncertainties in quantifying methane efflux arise when measuring and modelling its physical and biological determinants, including water table depth, microtopography, soil temperature, the distribution of aer
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14

Jackson, Brian Patrick. "Automated Complexity-Sensitive Image Fusion." Wright State University / OhioLINK, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421079359.

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15

Jiménez, González Xavier. "Improvements in the registration of multimodal medical imaging : application to intensity inhomogeneity and partial volume corrections." Doctoral thesis, Universitat Politècnica de Catalunya, 2016. http://hdl.handle.net/10803/458881.

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Alignment or registration of medical images has a relevant role on clinical diagnostic and treatment decisions as well as in research settings. With the advent of new technologies for multimodal imaging, robust registration of functional and anatomical information is still a challenge, particular in small-animal imaging given the lesser structural content of certain anatomical parts, such as the brain, than in humans. Besides, patient-dependent and acquisition artefacts affecting the images information content further complicate registration, as is the case of intensity inhomogeneities (IIH) s
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16

Santos, Mikaelle Oliveira. "An?lise Ac?stica de Desvios Vocais Infantis utilizando a Transformada Wavelet." reponame:Repositório Institucional do IFPB, 2016. http://repositorio.ifpb.edu.br/jspui/handle/177683/258.

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Submitted by Alex Sandro R?go (alex@ifpb.edu.br) on 2016-11-23T14:09:46Z No. of bitstreams: 1 An?lise_Ac?stica_de_Desvios_Vocais_Infantis_utilizando_a_Transformada_Wavelet.pdf: 1701525 bytes, checksum: 950821553f2e8377cd6696b783b657d7 (MD5)<br>Approved for entry into archive by Alex Sandro R?go (alex@ifpb.edu.br) on 2016-11-23T14:10:37Z (GMT) No. of bitstreams: 1 An?lise_Ac?stica_de_Desvios_Vocais_Infantis_utilizando_a_Transformada_Wavelet.pdf: 1701525 bytes, checksum: 950821553f2e8377cd6696b783b657d7 (MD5)<br>Made available in DSpace on 2016-11-23T14:10:37Z (GMT). No. of bitstreams: 1 An?lise
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17

Boukerbout, Hassina. "Analyse en ondelettes et prolongement des champs de potentiel : développement d'une théorie 3-D et application en géophysique /." Rennes : Géosciences-Rennes, 2004. http://catalogue.bnf.fr/ark:/12148/cb39995468z.

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18

Marinho, Eberton da Silva. "An?lise estat?stica do m?todo compressive sensing aplicado a dados s?smicos." PROGRAMA DE P?S-GRADUA??O EM CI?NCIA E ENGENHARIA DE PETR?LEO, 2016. https://repositorio.ufrn.br/jspui/handle/123456789/22226.

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Submitted by Automa??o e Estat?stica (sst@bczm.ufrn.br) on 2017-03-09T22:35:46Z No. of bitstreams: 1 EbertonDaSilvaMarinho_TESE.pdf: 27289302 bytes, checksum: afbb77aed251ffa31c13cdae992f063a (MD5)<br>Approved for entry into archive by Arlan Eloi Leite Silva (eloihistoriador@yahoo.com.br) on 2017-03-13T21:12:47Z (GMT) No. of bitstreams: 1 EbertonDaSilvaMarinho_TESE.pdf: 27289302 bytes, checksum: afbb77aed251ffa31c13cdae992f063a (MD5)<br>Made available in DSpace on 2017-03-13T21:12:47Z (GMT). No. of bitstreams: 1 EbertonDaSilvaMarinho_TESE.pdf: 27289302 bytes, checksum: afbb77aed251ffa31c13
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19

Vayá, Salort Carlos. "Characterization and processing of atrial fibrillation episodes by convolutive blind source separation algorithms and nonlinear analysis of spectral features." Doctoral thesis, Universitat Politècnica de València, 2010. http://hdl.handle.net/10251/8416.

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Las arritmias supraventriculares, en particular la fibrilación auricular (FA), son las enfermedades cardíacas más comúnmente encontradas en la práctica clínica rutinaria. La prevalencia de la FA es inferior al 1\% en la población menor de 60 años, pero aumenta de manera significativa a partir de los 70 años, acercándose al 10\% en los mayores de 80. El padecimiento de un episodio de FA sostenida, además de estar ligado a una mayor tasa de mortalidad, aumenta la probabilidad de sufrir tromboembolismo, infarto de miocardio y accidentes cerebrovasculares. Por otro lado, los episodios de FA paro
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20

Dvořák, Martin. "Výukový video kodek." Master's thesis, Vysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií, 2012. http://www.nusl.cz/ntk/nusl-219882.

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The first goal of diploma thesis is to study the basic principles of video signal compression. Introduction to techniques used to reduce irrelevancy and redundancy in the video signal. The second goal is, on the basis of information about compression tools, implement the individual compression tools in the programming environment of Matlab and assemble simple model of the video codec. Diploma thesis contains a description of the three basic blocks, namely - interframe coding, intraframe coding and coding with variable length word - according the standard MPEG-2.
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DELLA, CIOPPA LORENZO. "Differential entropy based methods for thresholding in wavelet bases and other applications." Doctoral thesis, 2021. http://hdl.handle.net/11573/1566221.

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n this thesis the problem of automatically selecting expansion coefficients of a function f(t) in a wavelet basis expansion is considered. The problem is approached through an information-theoretic point of view and three different differential entropy based measures are proposed to compare expansion coefficients in order to find the optimal subset. Several theoretical results about differential entropy of a function are developed in order to provide a solid theoretical framework to the proposed measures. A numerical scheme to compute the differential entropy of a function is presented and its
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22

Hsieh, Ming-Hua, and 謝明華. "A Mosaic System based on Wavelet-Entropy-Block Process with Minimum Mismatch Error." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/78558232450738970149.

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碩士<br>國立交通大學<br>電機與控制工程系所<br>92<br>A feature-based image mosaic system is presented in this thesis. Most reliable features are located at places such as edges, boundaries, lines and corners where energy variances are big. To avoid distortion from unpredictable noises, multi-resolution wavelet theory is applied to obtain good feature regions and then combine with entropy and block process to get larger information capacity and more regional feature points. Feature matching is then used to obtain transformation matrix. Simple geometric formula is used to find feature pairs that could reduce mism
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23

Naveen, Pudi. "Wavelet Entropy Based Algorithm for Fault Detection in a Facts Compensated Transmission Line." Thesis, 2016. http://ethesis.nitrkl.ac.in/9136/1/2016_MT_PNaveen.pdf.

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Electric Transmission & Distribution Lines delivering power to end-user at their homes, offices and industries which pump life into the present day. It is essential to protect transmission lines for minimal interruption of supply and for good quality operation of power lines. This necessity ascended the engineers to found the Fault Detection & Location Techniques. Many fault detection methods use line data for detection of faults but these methods encounters problem with missing line data . To counter this problem, we are using fault detection process on the voltage and current measurements ac
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Li, Feng_Yu, and 李豐裕. "Wavelet Energy Entropy Applied to Detection Enhancement of Islanding Operation of Distributed Generation Systems." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/23956821646444188290.

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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>96<br>The islanding operation of distributed generation systems happens when the distributed generators are disconnected from the mains power such that the load is purely supplied by those connected distributed generators. Under such scenarios, if the occurred event is not informed in time, it may damage the electric power equipment and affect the safety of operation personnel. In view of this importance, the thesis has devoted to the study of islanding operation detection via the wavelet energy entropy method. It is found that by employing the proposed method, it
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Faal, Farshid. "Fault Detection, Isolation and Identification of Formation Flying Satellites using Wavelet-Entropy and Neural Networks." Thesis, 2013. http://spectrum.library.concordia.ca/976966/1/Faal_MASc_S2013.pdf.

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The main objective of this thesis is to develop a fault detection, isolation and identification (FDII) scheme based on Wavelet Entropy (WE) and Artificial Neural Network (ANN) for reaction wheels (RW) that are employed as actuators in the attitude control subsystem (ACS) of a satellites to perform the formation flying (FF) missions. In this thesis two FDII approaches are proposed, i) Spacecraft-level fault diagnosis and ii) Formation-level fault diagnosis. In the "spacecraft-level" fault diagnosis scheme in order to analysis faults, absolute attitude and angular measurements from a satelli
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Senake, Ralalage Buddhi Wimarshana. "Identification of breathing cracks in a beam structure with entropy." 2016. http://hdl.handle.net/1993/31748.

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During vibration of engineering structures, fatigue cracks may exhibit repetitive crack open-close breathing like phenomenon. In this thesis, the concept of entropy is employed to quantify this bi-linearity/irregularity of the vibration response so as to evaluate crack severity. To increase the sensitivity of the entropy calculation to detect the damage severity, entropy is merged with wavelet transformation (WT). A cantilever beam with a breathing crack is studied to asses proposed crack identification method under two vibration conditions: sinusoidal and random excitations. Through numerical
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Dorai, Arvind. "Automated Epileptic Seizure Onset Detection." Thesis, 2009. http://hdl.handle.net/10012/4342.

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Epilepsy is a serious neurological disorder characterized by recurrent unprovoked seizures due to abnormal or excessive neuronal activity in the brain. An estimated 50 million people around the world suffer from this condition, and it is classified as the second most serious neurological disease known to humanity, after stroke. With early and accurate detection of seizures, doctors can gain valuable time to administer medications and other such anti-seizure countermeasures to help reduce the damaging effects of this crippling disorder. The time-varying dynamics and high inter-individual varia
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28

LI, YU-XIAN, and 李禹賢. "Chattering online detection and inhibition application of weighted wavelet packet entropy and spindle speed variation method in the cutting of slender work object." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/axcz6c.

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碩士<br>國立勤益科技大學<br>機械工程系<br>107<br>In the processing process, inappropriate cutting force could usually excite relative vibration between the cutting tool and work object, chattering phenomenon was thus generated, this will not only affect the processing accuracy and work surface roughness, but also will harm the cutter and machine tool, consequently, the lifetime was reduced. In this paper, for the cutting of slender work object and short work object by lathe, online feedback control was used, through accelerometer, the measured signal was calculated with weighted wavelet packet entropy value,
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Ξενικού, Μόνικα Φιλίτσα. "Μελέτη ηλεκτροεγκεφαλογραφήματος με βάση μεγέθη από τη θεωρία πληροφορίας". Thesis, 2009. http://nemertes.lis.upatras.gr/jspui/handle/10889/3821.

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Στην παρούσα μεταπτυχιακή διπλωματική εργασία, η κυματιδιακή ανάλυση (Wavelet Analysis) εφαρμόζεται σε ηλεκτροεγκεφαλικές καταγραφές ασθενών που πάσχουν από επιληψία και σε προκλητά δυναμικά ασθενών που πάσχουν από σχιζοφρένεια και αλκοολισμό, με σκοπό την ανάδειξη παθολογικών προτύπων. Συγκεκριμένα, χρησιμοποιείται ο Διακριτός Κυματιδιακός Μετασχηματισμός (Discrete Wavelet Transform) για την εκτίμηση της Εντροπίας (Entropy) τωνηλεκτροεγκεφαλικών σημάτων. Η Εντροπία είναι ένα μέγεθος το οποίο εκφράζει το βαθμό τάξης ενός σήματος. Βιοσήματα με μεγάλο βαθμό οργάνωσης και περιορισμένο συχνοτικό
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Mettke, Philipp. "Vorhersagbarkeit ökonomischer Zeitreihen auf verschiedenen zeitlichen Skalen." Bachelor's thesis, 2015. https://tud.qucosa.de/id/qucosa%3A29258.

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This thesis examines three decomposition techniques and their usability for economic and financial time series. The stock index DAX30 and the exchange rate from British pound to US dollar are used as representative economic time series. Additionally, autoregressive and conditional heteroscedastic simulations are analysed as benchmark processes to the real data. Discrete wavelet transform (DWT) uses wavelike functions to adapt the behaviour of time series on different time scales. The second method is the singular spectral analysis (SSA), which is applied to extract influential reconstructed m
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31

Lee, Angela. "Brain State Classification in Epilepsy and Anaesthesia." Thesis, 2010. http://hdl.handle.net/1807/25750.

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Transitions between normal and pathological brain states are manifested differently in the electroencephalogram (EEG). Traditional discrimination of these states is often subject to bias and strict definitions. A fuzzy logic-based analysis can permit the classification and tracking of brain states in a non-subjective and unsupervised manner. In this thesis, the combination of fuzzy c-means (FCM) clustering, wavelet, and information theory has revealed notable frequency features in epilepsy and anaesthetic-induced unconsciousness. It was shown that entropy changes in membership functions correl
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32

Νικολάου, Θεόδωρος. "Η μελέτη δραστικών αλλαγών στις ηλεκτροεγκεφαλικές χρονοσειρές επιληψίας με χρήση μεγεθών από τη θεωρία πληροφορίας και την κυματιδιακή ανάλυση". Thesis, 2010. http://nemertes.lis.upatras.gr/jspui/handle/10889/4101.

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Στην παρούσα μεταπτυχιακή διπλωματική εργασία η κυματιδιακή ανάλυση (wavelet analysis) εφαρμόζεται σε ηλεκτροεγκεφαλικές καταγραφές μαρτύρων με επιληψία με σκοπό τη μελέτη των δυναμικών αλλαγών της ηλεκτρικής δραστηριότητας στο πεδίο του χρόνου και της συχνότητας. Συγκεκριμένα, χρησιμοποιείται ο Διακριτός Μετασχηματισμός Κυματιδίου (ΔΜΚ) το συγκριτικό πλεονέκτημα του οποίου συνίσταται στην ικανότητά του να επεξεργάζεται μη στάσιμα σήματα, όπως αυτά των ηλεκτροεγκεφαλικών καταγραφών, με βέλτιστη διακριτική ικανότητα στο πεδίο συχνότητας-χρόνου. Ο ΔΜΚ ενός σήματος αποτελεί τη δισδιάστατη αναπαρά
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