Filter Algorithms
Mostrando 13-24 de 64 artigos, teses e dissertações.
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13. Avaliação de algoritmos e modelos digitais de elevação para extração automática da drenagem / Automatic drainage network extraction using digital elevation models
This work is an evaluation of automatic processes for drainage extraction from Digital Elevation Models (DEM), as related to different data sources, terrain types, algorithms and operation parameters. SRTM, Topodata and GDEM data of four (4) watersheds with distinct geomorphometries were processed through six (6) different flow algorithms (D8, Rho8, Dinf, Mf
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 30/05/2011
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14. Seleção de características por meio de algoritmos genéticos para aprimoramento de rankings e de modelos de classificação / Feature selection by genetic algorithms to improve ranking and classification models
Content-based image retrieval (CBIR) and classification systems rely on feature vectors extracted from images considering specific visual criteria. It is common that the size of a feature vector is of the order of hundreds of elements. When the size (dimensionality) of the feature vector is increased, a higher degree of redundancy and irrelevancy can be obse
Publicado em: 2011
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15. Object tracking from compressed video using Kalman Filter and a novel spatiotemporal motion-vector filter.
Video Object Tracking plays a crucial role on several Computer Vision applications, such as Video Surveillance, Intelligent Transportation System (ITS), Human Machine Interface (HMI), Video Indexing and Shopping Behavior Analysis. Nevertheless, the processing power demanded by object tracking techniques still consists in a bottleneck to their wider adoption.
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/10/2010
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16. Object tracking from compressed video using Kalman Filter and a novel spatiotemporal motion-vector filter.
Video Object Tracking plays a crucial role on several Computer Vision applications, such as Video Surveillance, Intelligent Transportation System (ITS), Human Machine Interface (HMI), Video Indexing and Shopping Behavior Analysis. Nevertheless, the processing power demanded by object tracking techniques still consists in a bottleneck to their wider adoption.
Publicado em: 2010
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17. Compact forwarding : uma abordagem probabilística para o encaminhamento de pacotes em redes orientadas a conteúdo / Compact forwarding : a probabilistic approach to packet forwarding in content-oriented networks
Esta tese introduz um novo conceito para as redes de conteúdo denominado compact forwarding. Este conceito traduz-se na utilização de técnicas probabilísticas no plano de encaminhamento onde o espaço de identificação não é mais relacionado a um host final, mas sim, à identificação de conteúdo(s). A essência do conceito originou-se de uma quest
Publicado em: 2010
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18. ROBUST VARIABLE STRUCTURE MODEL REFERENCE ADAPTIVE CONTROL APPLIED TO ACTIVE POWER FILTERS / CONTROLE ADAPTATIVO ROBUSTO DE ESTRUTURA VARIÁVEL POR MODELO DE REFERÊNCIA APLICADO A FILTROS ATIVOS DE POTÊNCIA
This works presents a Robust Variable Structure Model Reference Adaptive Control scheme denoted VSRMRAC. In this adaptive control strategy, each parameter of the control law is obtained by the sum of two other adaptive terms. One of them is associated with the RMRAC algorithm, while the other is composed of an adaptive gain rated by an approximated sign func
Publicado em: 2010
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19. Projeto de filtros tipo "só-pólo" para malhas de sincronismo de fase de alta frequência. / Design of all-pole filters for high frequency phase locked loops.
The evolution of communication systems is discussed, with emphasis on optical technology. Special consideration is given to the continuous need for increasing the capacity of such systems, and the impact over future optical communication. In view of the great demands imposed over the capacity of future optical systems, an overview is presented of two recent
Publicado em: 2010
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20. Observadores de Estados para Sistemas de Medição Indireta e Controle RLQD-GA / Observers of States for Systems Indirect Measurement and Control RLQD-GA
Motivado pela necessidade de algoritmos eficientes, apresenta-se o desenvolvimento de uma metodologia para projeto e análise de observadores de estado em malhas aberta e fechada que são dedicados a monitoração e controle de sistemas dinâmicos. O desenvolvimento dos observadores estão fundamentados em modelos OE, descrição no espaço de estados e filt
Publicado em: 2010
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21. Hardware/Software codesign of particle filter for real time localization of mobile robots / Co-projeto de hardware/software do filtro de partículas para localização em tempo real de robôs móveis
Sophisticated techniques for estimation of models based on simulation, particle filters or Sequential Monte Carlo Methods, were recently used to solve many difficult problems in the field of mobile robotics. However, the success of particle filters was limited to the computation of parameters in low dimensionality spaces. The current research efforts in mobi
Publicado em: 2010
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22. Combinação afim de algoritmos adaptativos. / Affine combination of adaptive algorithms.
In order to improve the performance of adaptive filters, the combination of algorithms is receiving much attention in the literature. This method combines linearly the outputs of two filters operating in parallel with different step-sizes to obtain an adaptive filter with fast convergence and reduced excess mean squared error (EMSE). In this context, it was
Publicado em: 2009
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23. A filter SQP algorithm without a feasibility restoration phase
In this paper we present a filter sequential quadratic programming (SQP) algorithm for solving constrained optimization problems. This algorithm is based on the modified quadratic programming (QP) subproblem proposed by Burke and Han, and it can avoid the infeasibility of the QP subproblem at each iteration. Compared with other filter SQP algorithms, our alg
Computational & Applied Mathematics. Publicado em: 2009
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24. Filtros de Kalman robustos para sistemas dinâmicos singulares em tempo discreto / Robust Kalman filters for discrete-time singular systems
This thesis considers the optimal robust estimates problem for discrete-time singular dymanic systems. New recursive algorithms are developed for the Kalman filtered and predicted estimated recursions with the corresponding Riccati equations. The singular robust Kalman type filter and the corresponding recursive Riccati equation arer obtained in their most g
Publicado em: 2009