This research work has made an effort to understand a novel line of radio frequency power amplifiers (RFPAs) that address initiatives for efficiency enhancement and linearity compensation to harmonize the fifth generation (5G) campaign. The objective is to enhance the performance of an orthogonal frequency division multiplexing-long term evolution (OFDM-LTE) transmitter by reducing the nonlinear distortion of the RFPA. The first part of this work explores the design and implementation of 15.5 W class AB RF power amplifier, adopting a balanced technique to stimulate efficiency enhancement and redeeming exhibition of excessive power in the transmitter. Consequently, this work goes beyond improving efficiency over a linear RF power amplifier design; in which a comprehensive investigation on the fundamental and harmonic components of class F RF power amplifier using a load-pull approach to realise an optimum load impedance and the matching network is presented. The frequency bandwidth for both amplifiers was allocated to operate in the 2.620-2.690 GHz of mobile LTE applications. The second part explores the development of the behavioural model for the class AB power amplifier. A particular novel, Hammerstein-Wiener based model is proposed to describe the dynamic nonlinear behaviour of the power amplifier. The RF power amplifier nonlinear distortion is approximated using a new linear parameter approximation approach. The first and second-order Hammerstein-Wiener using the Normalised Least Mean Square Error (NLMSE) algorithm is used with the aim of easing the complexity of filtering process during linear memory cancellation. Moreover, an enhanced adaptive Wiener model is proposed to explore the nonlinear memory effect in the system. The proposed approach is able to balance between convergence speed and high-level accuracy when compared with behavioural modelling algorithms that are more complex in computation. Finally, the adaptive predistorter technique is implemented and verified in the OFDM transceiver test-bed. The results were compared against the computed one from MATLAB simulation for OFDM and 5G modulation transmitters. The results have confirmed the reliability of the model and the effectiveness of the proposed predistorter. / Fundacão para a Ciência e a Tecnologia, Portugal, under European Union’s Horizon 2020 research and innovation programme ... grant agreement H2020-MSCA-ITN- 2016 SECRET-722424 I also acknowledge the role of the National Space Research and Development Agency (NASRDA) Sokoto State Government Petroleum Technology Trust Fund (PTDF)

Este trabajo académico reconstruye el itinerario y los aportes del viajero franco-austriaco Charles Wiener. Su visita al Perú se inició en febrero de 1876 y concluyó en agosto de 1877. Por su recorrido y los sitios visitados, fue el más extenso que emprendiera un viajero con fines científicos al Perú en el siglo XIX. Su monumental obra, Pérou et Bolivie, fue publicada en 1880, dos años después de la Exposición Universal de París de 1878, en la cual tuvo un papel central, así como la colección de miles de objetos que llevó del Perú. Al revisar las referencias al trabajo de Wiener, pude constatar que había una línea de crítica a este autor que provenía de estudiosos franceses y alemanes, algunos de los cuales lo catalogaban de exagerado y pretensioso en su versión más suave, de haberse apropiado de los hallazgos de otros investigadores, y en su versión más dura, de ser un embustero. Me sorprendieron estas acusaciones en especial una de que en el tiempo que estuvo en Perú no pudo abarcar el itinerario que describe en su relato. Mis indagaciones desmienten estos extremos. Creo que se requiere poner más atención a las fuentes de la época. Lo que nadie discute es que la sociedad, la economía, los conflictos y abismos que desgarraban a su población, constituyen un extraordinario fresco que es necesario consultar para comprender el Perú del siglo XIX en vísperas de la Guerra del Pacífico. Esta visión desde el interés de la Historia trasciende la desmesura que podría afectar su relato.

Atributos visuais de textura e forma foram investigados para a recuperação baseada em conteúdo de imagens mamográficas (CBIR). Para a similaridade de imagens, foi considerada a estrutura de densidade mamária, representada principalmente pelos tecidos fibro-glandulares. A pesquisa consistiu de três etapas: (1) Preparação e processamento das imagens; (2) Extração e seleção de atributos visuais de textura e forma; (3) Implementação de um sistema de recuperação de imagem. A primeira etapa consistiu dos processos de retirada de ruído do fundo da imagem, segmentação da região da mama, detecção da região de músculo peitoral, localização do mamilo e da segmentação da região de tecidos fibro-glandulares. Utilizou-se a equação de Difusão Anisotrópica com filtro de Wiener para retirada e suavização de ruídos encontrados na imagem e preservação da borda da mama. Para a segmentação da região da mama, foram utilizadas as técnicas de limiarização de Princípio de Máxima Entropia, Método de Preservação de Momento, Método de Otsu, Método interativo de Ridler & Carvard, Método de Reddi e Método da Matriz de Co-ocorrência. A melhor imagem foi escolhida numa tarefa supervisionada. A detecção automática da região do músculo peitoral foi feita com a combinação do operador de Canny e a transformada de Radon como detector de linha. A posição do mamilo foi detectada com a transformada de Radon como detector de direção de densidade. A segmentação da região de tecidos fibro-glandulares foi feita também com as técnicas de limiarização do Princípio de Máxima Entropia, Método de Preservação de Momento, e Método de Otsu. Momentos Estatísticos extraídos do Histograma, Medida de Granulometria, Momentos Estatísticos extraídos do Domínio de Radon, Momento de Hu, e Textura de Haralick foram investigados como atributos de textura. Medida de Área, Circularidade e Razão de Diâmetro foram investigados como atributos de forma. A rede de Mapas Auto-Organizáveis de Kohonen foi utilizada como sistema de recuperação de imagem. Foram utilizadas, neste trabalho, 1080 imagens do projeto de Banco de Imagens do HCFMRP-USP, módulo Mamografia. O treinamento e teste foram feitos com a técnica de \"leaving-one-out\" e os melhores resultados obtidos foram: Taxa de precisão de 91,07% para a combinação dos cinco grupos de atributos de Forma, Estatísticos Extraídos do Histograma, Momento de Hu, Espectral no Domínio de Radon e de Medida de Granulometria; taxa de precisão e revocação do coeficiente de correlação médio representadas pela área sob a curva com valor de 0,02351 dos grupos de atributos de forma, de Textura de Haralick e Momento de Hu. Os resultados obtidos indicaram a relevância de nosso trabalho e seu potencial de utilização para a recuperação baseada em conteúdo de imagens mamográficas. / Visual texture based on texture and shape features were investigated for content-based mammographic images retrieval (CBIR). For similarity of images, the mammary density structures were considered, mainly represented by fibro-glandular tissues. This research consisted of three stages: (1) Images preparation and processing; (2) Extraction and selection of the visual features; (3) Implementation of a retrieval system. The first stage consisted of noisy removing from the image background, breast region segmentation, pectoral muscle region detection, nipple localization and the fibro-glandular tissues region segmentation. The equation of Anisotropic Diffusion was used with Wiener filter for noisy removing with the breast region edge preservation. For the breast region segmentation, the Thresholding techniques were used of Maximum Entropy Principle, Moment Preserving Method, Otsu Method, Ridler & Carvard Method, Reddi Method and Co-occurrence Matrix Method. The better image was chosen in a supervised task. The automatic pectoral muscle region detection was made with the Canny operator and Radon Transform combination as straight line detector. The nipple position was detected with the Radon Transform as density direction detector. The fibro-glandular tissues region was also defined with the thresholding techniques of the Maximum Entropy Principle, Moment Preserving Method, and Otsu Method. The Statistical Moments extracted from the Histogram, Measured of Granulometry, Statistical Moments extracted in Radon Domain, Moment of Hu, and Haralick Textures were investigated as texture features. Area, Circularity and Diameter Ratio were investigated as shape features. The Self-Organizing Maps of Kohonen was used as image retrieval system. One thousand and eighty images of the HCFMRP-USP Database Project, Mammography Module, were used in this work. The training and test processes were realized with the \"leaving-one-out\" technique and the best results obtained were: The precision rate of 91,07% for the combination of the five following features group: Shape, Statistical Moments extracted of the Histogram, Moment of Hu, Statistical Moments extracted in Radon Domain and Measure of Granulometry; precision and revocation rates of the average coefficient of correlation represented by the area under the curve with value of 0,02351 for the three following features group: Shape, Haralick Textures and Moment de Hu. The results obtained indicated the relevance of our work for the content-based mammographic images retrieval.

Scientific Workflows bieten flexible Möglichkeiten für die Modellierung und den Austausch komplexer Arbeitsabläufe zur Analyse wissenschaftlicher Daten. In den letzten Jahrzehnten sind verschiedene Systeme entstanden, die den Entwurf, die Ausführung und die Verwaltung solcher Scientific Workflows unterstützen und erleichtern. In mehreren wissenschaftlichen Disziplinen wachsen die Mengen zu verarbeitender Daten inzwischen jedoch schneller als die Rechenleistung und der Speicherplatz verfügbarer Rechner. Parallelisierung und verteilte Ausführung werden häufig angewendet, um mit wachsenden Datenmengen Schritt zu halten. Allerdings sind die durch verteilte Infrastrukturen bereitgestellten Ressourcen häufig heterogen, instabil und unzuverlässig. Um die Skalierbarkeit solcher Infrastrukturen nutzen zu können, müssen daher mehrere Anforderungen erfüllt sein: Scientific Workflows müssen parallelisiert werden. Simulations-Frameworks zur Evaluation von Planungsalgorithmen müssen die Instabilität verteilter Infrastrukturen berücksichtigen. Adaptive Planungsalgorithmen müssen eingesetzt werden, um die Nutzung instabiler Ressourcen zu optimieren. Hadoop oder ähnliche Systeme zur skalierbaren Verwaltung verteilter Ressourcen müssen verwendet werden. Diese Dissertation präsentiert neue Lösungen für diese Anforderungen. Zunächst stellen wir DynamicCloudSim vor, ein Simulations-Framework für Cloud-Infrastrukturen, welches verschiedene Aspekte der Variabilität adäquat modelliert. Im Anschluss beschreiben wir ERA, einen adaptiven Planungsalgorithmus, der die Ausführungszeit eines Scientific Workflows optimiert, indem er Heterogenität ausnutzt, kritische Teile des Workflows repliziert und sich an Veränderungen in der Infrastruktur anpasst. Schließlich präsentieren wir Hi-WAY, eine Ausführungsumgebung die ERA integriert und die hochgradig skalierbare Ausführungen in verschiedenen Sprachen beschriebener Scientific Workflows auf Hadoop ermöglicht. / Scientific workflows provide a means to model, execute, and exchange the increasingly complex analysis pipelines necessary for today's data-driven science. Over the last decades, scientific workflow management systems have emerged to facilitate the design, execution, and monitoring of such workflows. At the same time, the amounts of data generated in various areas of science outpaced hardware advancements. Parallelization and distributed execution are generally proposed to deal with increasing amounts of data. However, the resources provided by distributed infrastructures are subject to heterogeneity, dynamic performance changes at runtime, and occasional failures. To leverage the scalability provided by these infrastructures despite the observed aspects of performance variability, workflow management systems have to progress: Parallelization potentials in scientific workflows have to be detected and exploited. Simulation frameworks, which are commonly employed for the evaluation of scheduling mechanisms, have to consider the instability encountered on the infrastructures they emulate. Adaptive scheduling mechanisms have to be employed to optimize resource utilization in the face of instability. State-of-the-art systems for scalable distributed resource management and storage, such as Apache Hadoop, have to be supported. This dissertation presents novel solutions for these aspirations. First, we introduce DynamicCloudSim, a cloud computing simulation framework that is able to adequately model the various aspects of variability encountered in computational clouds. Secondly, we outline ERA, an adaptive scheduling policy that optimizes workflow makespan by exploiting heterogeneity, replicating bottlenecks in workflow execution, and adapting to changes in the underlying infrastructure. Finally, we present Hi-WAY, an execution engine that integrates ERA and enables the highly scalable execution of scientific workflows written in a number of languages on Hadoop.

Atributos visuais de textura e forma foram investigados para a recuperação baseada em conteúdo de imagens mamográficas (CBIR). Para a similaridade de imagens, foi considerada a estrutura de densidade mamária, representada principalmente pelos tecidos fibro-glandulares. A pesquisa consistiu de três etapas: (1) Preparação e processamento das imagens; (2) Extração e seleção de atributos visuais de textura e forma; (3) Implementação de um sistema de recuperação de imagem. A primeira etapa consistiu dos processos de retirada de ruído do fundo da imagem, segmentação da região da mama, detecção da região de músculo peitoral, localização do mamilo e da segmentação da região de tecidos fibro-glandulares. Utilizou-se a equação de Difusão Anisotrópica com filtro de Wiener para retirada e suavização de ruídos encontrados na imagem e preservação da borda da mama. Para a segmentação da região da mama, foram utilizadas as técnicas de limiarização de Princípio de Máxima Entropia, Método de Preservação de Momento, Método de Otsu, Método interativo de Ridler & Carvard, Método de Reddi e Método da Matriz de Co-ocorrência. A melhor imagem foi escolhida numa tarefa supervisionada. A detecção automática da região do músculo peitoral foi feita com a combinação do operador de Canny e a transformada de Radon como detector de linha. A posição do mamilo foi detectada com a transformada de Radon como detector de direção de densidade. A segmentação da região de tecidos fibro-glandulares foi feita também com as técnicas de limiarização do Princípio de Máxima Entropia, Método de Preservação de Momento, e Método de Otsu. Momentos Estatísticos extraídos do Histograma, Medida de Granulometria, Momentos Estatísticos extraídos do Domínio de Radon, Momento de Hu, e Textura de Haralick foram investigados como atributos de textura. Medida de Área, Circularidade e Razão de Diâmetro foram investigados como atributos de forma. A rede de Mapas Auto-Organizáveis de Kohonen foi utilizada como sistema de recuperação de imagem. Foram utilizadas, neste trabalho, 1080 imagens do projeto de Banco de Imagens do HCFMRP-USP, módulo Mamografia. O treinamento e teste foram feitos com a técnica de \"leaving-one-out\" e os melhores resultados obtidos foram: Taxa de precisão de 91,07% para a combinação dos cinco grupos de atributos de Forma, Estatísticos Extraídos do Histograma, Momento de Hu, Espectral no Domínio de Radon e de Medida de Granulometria; taxa de precisão e revocação do coeficiente de correlação médio representadas pela área sob a curva com valor de 0,02351 dos grupos de atributos de forma, de Textura de Haralick e Momento de Hu. Os resultados obtidos indicaram a relevância de nosso trabalho e seu potencial de utilização para a recuperação baseada em conteúdo de imagens mamográficas. / Visual texture based on texture and shape features were investigated for content-based mammographic images retrieval (CBIR). For similarity of images, the mammary density structures were considered, mainly represented by fibro-glandular tissues. This research consisted of three stages: (1) Images preparation and processing; (2) Extraction and selection of the visual features; (3) Implementation of a retrieval system. The first stage consisted of noisy removing from the image background, breast region segmentation, pectoral muscle region detection, nipple localization and the fibro-glandular tissues region segmentation. The equation of Anisotropic Diffusion was used with Wiener filter for noisy removing with the breast region edge preservation. For the breast region segmentation, the Thresholding techniques were used of Maximum Entropy Principle, Moment Preserving Method, Otsu Method, Ridler & Carvard Method, Reddi Method and Co-occurrence Matrix Method. The better image was chosen in a supervised task. The automatic pectoral muscle region detection was made with the Canny operator and Radon Transform combination as straight line detector. The nipple position was detected with the Radon Transform as density direction detector. The fibro-glandular tissues region was also defined with the thresholding techniques of the Maximum Entropy Principle, Moment Preserving Method, and Otsu Method. The Statistical Moments extracted from the Histogram, Measured of Granulometry, Statistical Moments extracted in Radon Domain, Moment of Hu, and Haralick Textures were investigated as texture features. Area, Circularity and Diameter Ratio were investigated as shape features. The Self-Organizing Maps of Kohonen was used as image retrieval system. One thousand and eighty images of the HCFMRP-USP Database Project, Mammography Module, were used in this work. The training and test processes were realized with the \"leaving-one-out\" technique and the best results obtained were: The precision rate of 91,07% for the combination of the five following features group: Shape, Statistical Moments extracted of the Histogram, Moment of Hu, Statistical Moments extracted in Radon Domain and Measure of Granulometry; precision and revocation rates of the average coefficient of correlation represented by the area under the curve with value of 0,02351 for the three following features group: Shape, Haralick Textures and Moment de Hu. The results obtained indicated the relevance of our work for the content-based mammographic images retrieval.

Nous considérons des processus de diffusion, définis par des équations différentielles stochastiques, et puis nous nous intéressons à des problèmes de premier passage pour les chaînes de Markov en temps discret correspon- dant à ces processus de diffusion. Comme il est connu dans la littérature, ces chaînes convergent en loi vers la solution des équations différentielles stochas- tiques considérées. Notre contribution consiste à trouver des formules expli- cites pour la probabilité de premier passage et la durée de la partie pour ces chaînes de Markov à temps discret. Nous montrons aussi que les résultats ob- tenus convergent selon la métrique euclidienne (i.e topologie euclidienne) vers les quantités correspondantes pour les processus de diffusion. En dernier lieu, nous étudions un problème de commande optimale pour des chaînes de Markov en temps discret. L’objectif est de trouver la valeur qui mi- nimise l’espérance mathématique d’une certaine fonction de coût. Contraire- ment au cas continu, il n’existe pas de formule explicite pour cette valeur op- timale dans le cas discret. Ainsi, nous avons étudié dans cette thèse quelques cas particuliers pour lesquels nous avons trouvé cette valeur optimale. / We consider diffusion processes, defined by stochastic differential equa- tions, and then we focus on first passage problems for Markov chains in dis- crete time that correspond to these diffusion processes. As it is known in the literature, these Markov chains converge in distribution to the solution of the stochastic differential equations considered. Our contribution is to obtain ex- plicit formulas for the first passage probability and the duration of the game for the discrete-time Markov chains. We also show that the results obtained converge in the Euclidean metric to the corresponding quantities for the diffu- sion processes. Finally we study an optimal control problem for Markov chains in discrete time. The objective is to find the value which minimizes the expected value of a certain cost function. Unlike the continuous case, an explicit formula for this optimal value does not exist in the discrete case. Thus we study in this thesis some particular cases for which we found this optimal value.

This work focuses on fixing measurement inaccuracies to which models and figures of merit are susceptible in two wireless communication environments: power amplifier and multipath. To emulate or rate the performance of these environments, models and figures of merit, respectively, are often used. The usefulness of a model depends on how accurately and efficiently it emulates its real-world counterpart. The usefulness of a figure of merit depends on how accurately it represents system behavior. Most discussions on the challenges and trade-offs faced in modeling nearly always focus on the complexity of the device or channel of interest and the resultant difficulty in describing it. Similarly, figures of merit are meant only to summarize the performance of the device or channel. At some point, either in generation or verification of a model or figure of merit, there is a dependence on measured data. Though the complexity and performance of the device or channel are challenges by themselves, there are other significant sources of distortion that must be minimized to avoid errors in the measured data. For this work, the unique distortion of power amplifier and multipath environments is considered, and then errors in measurement which would obscure these distortions are eliminated. Specifically, three measurement issues are addressed: 1) identifying measurement setup artifacts, 2) achieving consistent measurement results and 3) reducing variations in the environment. This work contributes to increasing the accuracy of microwave measurements used in the modeling of nonlinear high-power amplifiers and used in figures of merit for power amplifiers and multipath channels.

Στην παρούσα εργασία επιχειρείται η εφαρμογή αλγορίθμων αποθορυβοποίησης σε σήματα μουσικής και η εξαγωγή συμπερασμάτων σχετικά με την απόδοση αυτών ανά μουσικό είδος. Η κύρια επιδίωξη είναι να αποσαφηνιστούν τα βασικά προβλήματα της ενίσχυσης ήχων και να παρουσιαστούν οι διάφοροι αλγόριθμοι που έχουν αναπτυχθεί για την επίλυση των προβλημάτων αυτών. Αρχικά γίνεται μία σύντομη εισαγωγή στις βασικές έννοιες πάνω στις οποίες δομείται η τεχνολογία ενίσχυσης ομιλίας. Στην συνέχεια εξετάζονται και αναλύονται αντιπροσωπευτικοί αλγόριθμοι από κάθε κατηγορία τεχνικών αποθορυβοποίησης, την κατηγορία φασματικής αφαίρεσης, την κατηγορία στατιστικών μοντέλων και αυτήν του υποχώρου. Για να μπορέσουμε να αξιολογήσουμε την απόδοση των παραπάνω αλγορίθμων χρησιμοποιούμε αντικειμενικές μετρήσεις ποιότητας, τα αποτελέσματα των οποίων μας δίνουν την δυνατότητα να συγκρίνουμε την απόδοση του κάθε αλγορίθμου. Με την χρήση τεσσάρων διαφορετικών μεθόδων αντικειμενικών μετρήσεων διεξάγουμε τα πειράματα εξάγοντας μια σειρά ενδεικτικών τιμών που μας δίνουν την ευχέρεια να συγκρίνουμε είτε τυχόν διαφοροποιήσεις στην απόδοση των αλγορίθμων της ίδιας κατηγορίας είτε διαφοροποιήσεις στο σύνολο των αλγορίθμων. Από την σύγκριση αυτή γίνεται εξαγωγή χρήσιμων συμπερασμάτων σχετικά με τον προσδιορισμό των παραμέτρων κάθε αλγορίθμου αλλά και με την καταλληλότητα του κάθε αλγορίθμου για συγκεκριμένες συνθήκες θορύβου και για συγκεκριμένο μουσικό είδος. / This thesis attempts to apply Noise Reduction algorithms to signals of music and draw conclusions concerning the performance of each algorithm for every musical genre. The main aims are to clarify the basic problems of sound enhancement and present the various algorithms developed for solving these problems. After a brief introduction to basic concepts on sound enhancement we examine and analyze various algorithms that have been proposed at times in the literature for speech enhancement. These algorithms can be divided into three main classes: spectral subtractive algorithms, statistical-model-based algorithms and subspace algorithms. In order to evaluate the performance of the above algorithms we use objective measures of quality, the results of which give us the opportunity to compare the performance of each algorithm. By using four different methods of objective measures to conduct the experiments we draw a set of values that facilitate us to make within-class algorithm comparisons and across-class algorithm comparisons. From these comparisons we can draw conclusions on the determination of parameters for each algorithm and the appropriateness of algorithms for specific noise conditions and music genre.

L’objet de cette thèse est d’établir des théorèmes limites locaux pour des marches aléatoires réfléchies sur N. La théorie des fluctuations des marches aléatoires et la factorisation de Wiener- Hopf y jouent un rôle important. On développera dans la première partie une approche classique que l’on appliquera à l’étude des marches aléatoires sur R+ avec réflexions non élastiques en 0. Dans la deuxième partie, on explicitera une méthode différente qui fait intervenir des outils algébriques, d’analyse complexe et des techniques de factorisation utilisant de manière essentielle les fonctions génératrices. Cette approche a été développée il y a une cinquantaine d’année pour l’étude de marches de Markov, elle sera présentée dans cette partie dans le cas des marches aléatoires à pas i.i.d. où un certain nombre de simplifications apparaissent et sera ensuite utilisée pour étudier les marches aléatoires sur N avec réflexions élastiques ou non élastiques en zéro. Finalement, dans la dernière partie, nous mettons en place les outils nécessaires pour établir une factorisation de Wiener-Hopf dans un cadre markovien afin d’étudier les fluctuations des marches de Markov sur Z; nous reprenons des travaux anciens dont les démonstrations méritaient d’être détaillées, l’objectif à moyen terme étant d’appliquer les méthodes algébriques décrites ci-dessus pour l’étude de marches de Markov réfléchies sur N. / The purpose of this thesis is to establish some local limit theorems for reflected random walks on N. The fluctuations theory and the Wiener-Hopf factorization play a crucial role. We will develop in the first part a classical approach that we will apply to the study of random walks on R+ with non-elastic reflections at zero. In the second part, we will explicit a different method which involves algebraic tools, complex analysis and factorization techniques, using in an essential way generating functions. These approach was developed 50 years ago to cover Markov walks, it will be presented in this part in the case of random walks with i.i.d jumps where many simplifications appear and will be then used to study random walks on N with either elastic or non-elastic reflections at zero. Finally, in the last part, we will introduce the useful tools to establish a Wiener-Hopf factorization in a markovian framework in order to study the fluctuations of Markov walks on Z. We investigate some previous work, especially some proofs that warranted to be more detailed, with a mediumterm objective of applying the algebraic tools described above to study reflected Markov walks on N.

Made available in DSpace on 2016-06-02T19:03:57Z (GMT). No. of bitstreams: 1 5415.pdf: 8638421 bytes, checksum: 0e5c5abf95c786434202fdae3e69dc1e (MD5) Previous issue date: 2013-06-24 / Financiadora de Estudos e Projetos / The resolution enhancement of an image is always desirable, independently of its objective, but mainly if the image has the purpose of visual analysis. The hardware development for increasing the image resolution still has a higher cost than the algorithmic solutions for super-resolution. Like image restoration, super-resolution is also an ill-conditioned inverse problem, and has an infinite number of solutions. This work analyzes the iterative restoration methods (Van Cittert, Tikhonov-Miller and Conjugate Gradiente) which propose solutions for the ill-conditioning problem and compares them with the IBP method (Iterative Back Projection). The analysis of the found similarities is the basis of a generalization, such that other iterative restoration methods can have their properties adapted, as regularization of the ill-conditioning, noise reduction and other degradations and the increase of the convergence rate can be incorporated to the techniques of super-resolution. Two new methods were created as case studies of the proposed generalization: the first one is a super-resolution method for dynamic magnetic resonance imaging (MRI) of the swallowing process, that uses an adaptiveWiener filtering as regularization and a non-rigid registration; and the second one is a pan sharpening method of SPOT satellite bands, that uses sampling based on sensor s characteristics and non-adaptive Wiener filtering. / A melhora da resolução de uma imagem é sempre desejada, independentemente de seu objetivo, mas principalmente se destinada a análise visual. O desenvolvimento de hardware para o aumento de resolução de uma imagem em sua captura ainda possui o custo mais elevado do que as soluções algorítmicas de super resolução (SR). Assim como a restauração de imagens, a super resolução também é um problema inverso mal-condicionado e possui infinitas soluções. Este trabalho analisa métodos de restauração iterativos (Van Cittert, Tikhonov-Miller e Gradiente Conjugado) que proponham soluções para o problema do malcondicionamento e os compara com o método IBP (Iterative Back-Projection). A análise das semelhanças encontradas é base para uma generalização de modo que outros métodos iterativos de restauração possam ter suas propriedades adaptadas, tais como regularização do mal-condicionamento, redução do ruído e outras degradações e aumento na taxa de convergência, para que possam ser incorporadas à técnicas de super resolução. Dois novos métodos foram criados como estudo de caso da generalização proposta: o primeiro é um método de super-resolução para imageamento por ressonância magnética (MRI) dinâmico do processo de deglutição, que utiliza uma filtragem de Wiener adaptativa como regularização e registro não-rígido; o segundo é um método de pansharpening das bandas do satélite SPOT, que utiliza amostragem baseada nas características do sensor e filtragem de Wiener não-adaptativa.