Made available in DSpace on 2016-03-22T17:26:08Z (GMT). No. of bitstreams: 1 leandro zafalon.pdf: 1268402 bytes, checksum: cd35030285126fa95b61d98c6a518798 (MD5) Previous issue date: 2008-08-08 / The main goal of this work is the implementation and analyzes of new array multiplier architectures. These new architectures were recently presented in the scientific community by including different power reduction techniques, such as the use of efficient adder circuits and the optimization of the dedicated multiplication structures that allow the multiplication operation in the radix 2m. The new multipliers operate in 2´s complement and keep the same regularity presented by a conventional array multiplier. The architectures operate in the radix 2m, where m represents the group of bits multiplied at a time. In a conventional array multiplier, where the multiplication is performed bit by bit, m assumes value equal 1 (radix 2 operation). In this work, the new multiplier architectures operate in different radices, leading to a reduction in the number of partial product lines, enabling higher performance and power reduction in the multipliers. The 16, 32 and 64 bit width multipliers were described in textual language (gate level), and the comparisons between the multipliers are preformed in terms of area, delay and power consumption by using SIS environment (for area and delay results) and SLS tool (for power consumption estimation). In this work we have applied the proposed optimized multipliers in digital filtering algorithms such as finite impulse response (FIR) and dedicated architecture for the LMS (Least Mean Square) adaptive filtering / O objetivo principal deste trabalho é a implementação e análise de novas arquiteturas de circuitos multiplicadores array digitais recentemente apresentados no meio cientifico com diferentes técnicas de redução de potência, tais como a utilização de eficientes estruturas de circuitos somadores, bem como a otimização dos blocos dedicados de multiplicação, que permitem a operação de multiplicação na base 2m. A proposta de novas arquiteturas consiste em operações de multiplicação em complemento de 2 e que mantenham a mesma regularidade de um multiplicador array convencional. As arquiteturas podem operar com números na base 2m, onde m representa o grupo de bits de multiplicação. Em um multiplicador array convencional, onde a operação de multiplicação é realizada bit a bit, o valor de m é igual a 1 (operação na base 2). Neste trabalho, são apresentadas novas arquiteturas de multiplicadores que operam em diferentes bases, o que permite a redução do número de linhas de produtos parciais, com impactos diretos no aumento de desempenho e redução do consumo de potência. A implementação dos diferentes circuitos multiplicadores foi realizada no nível textual (nível de portas lógicas), onde circuitos multiplicadores de 16, 32 e 64 bits são comparados em termos de parâmetros de área, atraso e consumo de potência utilizando os ambientes SIS (para valores de área e atraso) e SLS (para estimação de valores de consumo de potência). Como estudos de caso, as diferentes arquiteturas de circuitos multiplicadores propostas neste trabalho foram aplicadas em filtros digitais de resposta finita ao impulso (FIR) e em arquitetura dedicada de algoritmo de filtragem adaptativa LMS (Least Mean Square)

Ondas de Rossby longas são ondas de larga escala que se propagam para o oeste com escala espacial de algumas centenas a vários milhares de quilômetros e desempenham um papel crítico na regulação da circulação do oceano. Sua propagação promove deslocamentos verticais da termoclina, muitas vezes da ordem de dezenas de metros, e causa variações de altura da superfície do mar que podem ser observadas através de dados de satélites altimétricos. A hipótese deste estudo é que existe uma fração significativa da variabilidade da velocidade geostrófica na superfície, associada a sinais propagantes para oeste. Para testá-la avaliamos a variabilidade da velocidade geostrófica meridional na superfície induzida pela passagem dessas ondas. Filtros digitais são necessários para distinguir sinais propagantes dos não-propagantes e permitiu a seleção da componente propagante para oeste com período aproximado de 12 meses. Velocidade de fase cp, período P, comprimento de onda λ, amplitude quadrática média A e o percentual de variância explicada σ2 desta componente foram estimados nos locais onde identificamos ondas de Rossby longas do primeiro modo baroclínico. Selecionamos perfis Argo posicionados em diferentes fases da mesma onda para averiguar a influência da sua propagação nos campos de temperatura, salinidade e densidade. Os resultados revelaram que a onda de Rossby anual de 237 mm de altura pode alterar o campo de densidade com valores de até 0,3 kg m-3 numa faixa de 240 m ao nível picnoclina. A variância explicada da componente meridional da velocidade geostrófica propagante para oeste em relação ao sinal original revelou que de 40% a 71% do sinal se propaga para oeste, corroborando a hipótese. / Long Rossby waves are large-scale waves which propagate westward with spatial scale ranging from a few hundred to several thousand kilometers. These waves play a critical role in the adjustment of ocean circulation. Their propagation cause vertical displacements of the thermocline, often of tens meters, and cause variations of sea surface height that can be observed on satellite altimeters data. The hypothesis of this study is that there is a significant fraction of surface geostrophic velocity variability associated with westward propagating signals. To test it, we assessed the variability of the meridional geostrophic velocity at the surface induced by the passage of these waves. Digital filters are necessary to distinguish the propagating from non-propagating signals and allowed for the selection of the westward propagating component with an approximate period of about 12 months. Phase speed cp, period P, wavelength λ, mean square amplitude A and percentage of explained variance σ2 of this component were estimated where long Rossby waves from the first baroclinic mode were identified. We selected Argo profiles data positioned at different phases of the same wave to verify the influence of its propagation on temperature, salinity and density fields. The results showed that the annual Rossby wave of 237 mm height can change the density field with values up to 0.3 kg m-3 about 240 m at pycnoclin level. The explained variance of the westward meridional component of geostrophic velocity relative to the original signal revealed that 40% to 71% of the signal propagates westward, supporting the hypothesis.

by Lai Wai Kuen. / Thesis (M.Phil.)--Chinese University of Hong Kong, 1993. / Includes bibliographical references (leaves [119-125]). / Abstract --- p.i / Acknowledgement --- p.ii / Table of Contents --- p.iii / Chapter Chapter 1 --- Introduction / Chapter 1.1 --- Background - The Need for Nonlinear Filtering --- p.1.1 / Chapter 1.2 --- Nonlinear Filtering --- p.1.2 / Chapter 1.3 --- Goal of the Work --- p.1.4 / Chapter 1.4 --- Organization of the Thesis --- p.1.5 / Chapter Chapter 2 --- An Overview of Robust Estimator Based Filters Morphological Filters / Chapter 2.1 --- Introduction --- p.2.1 / Chapter 2.2 --- Signal Representation by Sets --- p.2.2 / Chapter 2.3 --- Robust Estimator Based Filters --- p.2.4 / Chapter 2.3.1 --- Filters based on the L-estimators --- p.2.4 / Chapter 2.3.1.1 --- The Median Filter and its Derivations --- p.2.5 / Chapter 2.3.1.2 --- Rank Order Filters and Derivations --- p.2.9 / Chapter 2.3.2 --- Filters based on the M-estimators (M-Filters) --- p.2.11 / Chapter 2.3.3 --- Filter based on the R-estimators --- p.2.13 / Chapter 2.4 --- Filters based on Mathematical Morphology --- p.2.14 / Chapter 2.4.1 --- Basic Morphological Operators --- p.2.14 / Chapter 2.4.2 --- Morphological Filters --- p.2.18 / Chapter 2.5 --- Chapter Summary --- p.2.20 / Chapter Chapter 3 --- Multi-Structuring Element Erosion Filter / Chapter 3.1 --- Introduction --- p.3.1 / Chapter 3.2 --- Problem Formulation --- p.3.1 / Chapter 3.3 --- Description of Multi-Structuring Element Erosion Filter --- p.3.3 / Chapter 3.3.1 --- Definition of Structuring Element for Multi-Structuring Element Erosion Filter --- p.3.4 / Chapter 3.3.2 --- Binary multi-Structuring Element Erosion Filter --- p.3.9 / Chapter 3.3.3 --- Selective Threshold Decomposition --- p.3.10 / Chapter 3.3.4 --- Multilevel Multi-Structuring Element Erosion Filter --- p.3.15 / Chapter 3.3.5 --- A Combination of Multilevel Multi-Structuring Element Erosion Filter and its Dual --- p.3.21 / Chapter 3.4 --- Chapter Summary --- p.3.21 / Chapter Chapter 4 --- Properties of Multi-Structuring Element Erosion Filter / Chapter 4.1 --- Introduction --- p.4.1 / Chapter 4.2 --- Deterministic Properties --- p.4.2 / Chapter 4.2.1 --- Shape of Invariant Signal --- p.4.3 / Chapter 4.2.1.1 --- Binary Multi-Structuring Element Erosion Filter --- p.4.5 / Chapter 4.2.1.2 --- Multilevel Multi-Structuring Element Erosion Filter --- p.4.16 / Chapter 4.2.2 --- Rate of Convergence of Multi-Structuring Element Erosion Filter --- p.4.25 / Chapter 4.2.2.1 --- Convergent Rate of Binary Multi-Structuring Element Erosion Filter --- p.4.25 / Chapter 4.2.2.2 --- Convergent Rate of Multilevel Multi-Structuring Element Erosion Filter --- p.4.28 / Chapter 4.3 --- Statistical Properties --- p.4.30 / Chapter 4.3.1 --- Output Distribution of Multi-Structuring Element Erosion Filter --- p.4.30 / Chapter 4.3.1.1 --- One-Dimensional Statistical Analysis of Multilevel Multi-Structuring Element Erosion Filter --- p.4.31 / Chapter 4.3.1.2 --- Two-Dimensional Statistical Analysis of Multilevel Multi-Structuring Element Erosion Filter --- p.4.32 / Chapter 4.3.2 --- Discussions on Statistical Properties --- p.4.36 / Chapter 4.4 --- Chapter Summary --- p.4.40 / Chapter Chapter 5 --- Performance Evaluation / Chapter 5.1 --- Introduction --- p.5.1 / Chapter 5.2 --- Performance Criteria --- p.5.2 / Chapter 5.2.1 --- Noise Suppression --- p.5.5 / Chapter 5.2.2 --- Subjective Criterion --- p.5.16 / Chapter 5.2.3 --- Computational Requirement --- p.5.20 / Chapter 5.3 --- Chapter Summary --- p.5.23 / Chapter Chapter 6 --- Recapitulation and Suggestions for Further Work / Chapter 6.1 --- Recapitulation --- p.6.1 / Chapter 6.2 --- Suggestions for Further Work --- p.6.4 / Chapter 6.2.1 --- Probability Measure Function for the Two-Dimensional Filter --- p.6.4 / Chapter 6.2.2 --- Hardware Implementation --- p.6.5 / References / Appendices

Ondas de Rossby longas são ondas de larga escala que se propagam para o oeste com escala espacial de algumas centenas a vários milhares de quilômetros e desempenham um papel crítico na regulação da circulação do oceano. Sua propagação promove deslocamentos verticais da termoclina, muitas vezes da ordem de dezenas de metros, e causa variações de altura da superfície do mar que podem ser observadas através de dados de satélites altimétricos. A hipótese deste estudo é que existe uma fração significativa da variabilidade da velocidade geostrófica na superfície, associada a sinais propagantes para oeste. Para testá-la avaliamos a variabilidade da velocidade geostrófica meridional na superfície induzida pela passagem dessas ondas. Filtros digitais são necessários para distinguir sinais propagantes dos não-propagantes e permitiu a seleção da componente propagante para oeste com período aproximado de 12 meses. Velocidade de fase cp, período P, comprimento de onda λ, amplitude quadrática média A e o percentual de variância explicada σ2 desta componente foram estimados nos locais onde identificamos ondas de Rossby longas do primeiro modo baroclínico. Selecionamos perfis Argo posicionados em diferentes fases da mesma onda para averiguar a influência da sua propagação nos campos de temperatura, salinidade e densidade. Os resultados revelaram que a onda de Rossby anual de 237 mm de altura pode alterar o campo de densidade com valores de até 0,3 kg m-3 numa faixa de 240 m ao nível picnoclina. A variância explicada da componente meridional da velocidade geostrófica propagante para oeste em relação ao sinal original revelou que de 40% a 71% do sinal se propaga para oeste, corroborando a hipótese. / Long Rossby waves are large-scale waves which propagate westward with spatial scale ranging from a few hundred to several thousand kilometers. These waves play a critical role in the adjustment of ocean circulation. Their propagation cause vertical displacements of the thermocline, often of tens meters, and cause variations of sea surface height that can be observed on satellite altimeters data. The hypothesis of this study is that there is a significant fraction of surface geostrophic velocity variability associated with westward propagating signals. To test it, we assessed the variability of the meridional geostrophic velocity at the surface induced by the passage of these waves. Digital filters are necessary to distinguish the propagating from non-propagating signals and allowed for the selection of the westward propagating component with an approximate period of about 12 months. Phase speed cp, period P, wavelength λ, mean square amplitude A and percentage of explained variance σ2 of this component were estimated where long Rossby waves from the first baroclinic mode were identified. We selected Argo profiles data positioned at different phases of the same wave to verify the influence of its propagation on temperature, salinity and density fields. The results showed that the annual Rossby wave of 237 mm height can change the density field with values up to 0.3 kg m-3 about 240 m at pycnoclin level. The explained variance of the westward meridional component of geostrophic velocity relative to the original signal revealed that 40% to 71% of the signal propagates westward, supporting the hypothesis.

Thesis. 1978. Elec.E.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / Elec.E.

Thesis. 1977. M.S.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / M.S.

Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1979. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / by Paul Moroney. / Ph.D.

Thesis. 1978. Sc.D.--Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Vita. / Bibliography: p. 142-145. / Sc.D.

Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1980. / MICROFICHE COPY AVAILABLE IN ARCHIVES AND ENGINEERING. / Includes bibliographical references. / by John Newland Ratzel. / Ph.D.

by Wong Yin Shung. / Thesis (M.Phil.)--Chinese University of Hong Kong, 2005. / Includes bibliographical references (leaves 62-64). / Abstracts in English and Chinese. / Chapter 1 --- Introduction --- p.7 / Chapter 2 --- Fundamentals --- p.9 / Chapter 2.1 --- Representation of a digital image --- p.9 / Chapter 2.2 --- Salt-and-pepper --- p.10 / Chapter 2.3 --- Resolution of a gray digital image --- p.11 / Chapter 3 --- Filters --- p.14 / Chapter 3.1 --- Median filter --- p.15 / Chapter 3.2 --- Adaptive median filter --- p.15 / Chapter 3.3 --- Multi-state median filter --- p.16 / Chapter 3.4 --- Directional difference-based switching median filter --- p.18 / Chapter 3.5 --- Improved switching median filters --- p.20 / Chapter 3.6 --- Variational method --- p.21 / Chapter 3.7 --- Two-phase method --- p.22 / Chapter 4 --- New Two Phase Methods --- p.25 / Chapter 4.1 --- Triangule-based interpolation --- p.25 / Chapter 4.1.1 --- Delaunay triangulation --- p.26 / Chapter 4.1.2 --- Linear interpolation --- p.28 / Chapter 4.1.3 --- Cubic interpolation --- p.29 / Chapter 4.2 --- Gradient estimation --- p.32 / Chapter 4.3 --- Regularization method --- p.33 / Chapter 4.3.1 --- Least square method with Laplacian regularization --- p.33 / Chapter 4.3.2 --- Lagrange multipliers --- p.35 / Chapter 4.4 --- Fast transform for finding the inverse of Laplacian matrix --- p.38 / Chapter 5 --- Inpainting and Zooming --- p.39 / Chapter 5.1 --- Inpainting --- p.39 / Chapter 5.2 --- Zooming --- p.40 / Chapter 5.2.1 --- Bilinear interpolation --- p.40 / Chapter 5.2.2 --- Bicubic interpolation --- p.41 / Chapter 6 --- Results --- p.46 / Chapter 6.1 --- Results of denoising --- p.47 / Chapter 6.2 --- Results of inpainting --- p.47 / Chapter 6.3 --- Results of zooming --- p.48 / Chapter 6.4 --- Conclusions --- p.51