Filter Algorithms
Mostrando 1-12 de 64 artigos, teses e dissertações.
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1. Stem Modelling of Eucalyptus by Terrestrial Laser Scanning
ABSTRACT The objective of this work was to obtain the stem volume from 3D-cloud points generated by terrestrial laser scanning in Eucalyptus stands. The processing started with using algorithms for tree detection in plantation (TDP) and stem filtering (Filter Dmax). Then, the acquisition of the total height was made semi-automatically and tridimensional mode
Floresta Ambient.. Publicado em: 22/08/2019
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2. Selection of Environmental Covariates for Classifier Training Applied in Digital Soil Mapping
ABSTRACT A large number of predictor variables can be used in digital soil mapping; however, the presence of irrelevant covariables may compromise the prediction of soil types. Thus, algorithms can be applied to select the most relevant predictors. This study aimed to compare three covariable selection systems (two filter algorithms and one wrapper algorithm
Rev. Bras. Ciênc. Solo. Publicado em: 07/01/2019
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3. Comparing the Performance of Ground Filtering Algorithms for Terrain Modeling in a Forest Environment Using Airborne LiDAR Data
ABSTRACT The aim of this study was to evaluate the performance of four ground filtering algorithms to generate digital terrain models (DTMs) from airborne light detection and ranging (LiDAR) data. The study area is a forest environment located in Washington state, USA with distinct classes of land use and land cover (e.g., shrubland, grassland, bare soil, an
Floresta Ambient.. Publicado em: 01/02/2018
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4. Adaptive Wideband Beamforming Based on Digital Delay Filter
Abstract A novel adaptive wideband beamforming method is proposed, where beamforming is achieved by LMS based space-time adaptive filtering algorithm. Conventional broadband beamforming requires desired signal to be incident from the broadside i.e. direction normal to the array. The new method overcome this constraint by make use of digital delay filters whi
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2016-09
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5. A COMPARATIVE STUDY BETWEEN ARTIFICIAL NEURAL NETWORK AND SUPPORT VECTOR MACHINE FOR ACUTE CORONARY SYNDROME PROGNOSIS
ABSTRACT Despite medical advances, mortality due to acute coronary syndrome remains high. For this reason, it is important to identify the most critical factors for predicting the risk of death in patients hospitalized with this disease. To improve medical decisions, it is also helpful to construct models that enable us to represent how the main driving fact
Pesqui. Oper.. Publicado em: 2016-08
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6. Unscented Kalman Filter for Determination of Spacecraft Attitude Using Different Attitude Parameterizations and Real Data
ABSTRACT The non-linear estimators are certainly the most important algorithms applied to real problems, especially those involving the attitude estimation of spacecraft. The purpose of this paper was to use real data of sensors to analyze the behavior of Unscented Kalman Filter (UKF) in attitude estimation problems when it is represented in different ways a
J. Aerosp. Technol. Manag.. Publicado em: 2016-03
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7. Experimental-based subsystem models for simulation of heterogeneous optical networks
This work presents and analyzes experimental-based subsystem models for Erbium doped fiber amplifiers (EDFAs) and wavelength selective switches (WSSs) under operation in a metropolitan optical network testbed. Firstly, the performance of the EDFAs and two gain control types are analyzed in a heterogeneous experimental setup with lightpaths modulated at 10G/1
J. Microw. Optoelectron. Electromagn. Appl.. Publicado em: 2014-12
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8. Analyzing the Unscented Kalman Filter Robustness for Orbit Determination Through Global Positioning System Signals
ABSTRACT: The nonlinear unscented Kalman filter (UKF) is evaluated for the satellite orbit determination problem, using Global Positioning System (GPS) measurements. The assessment is based on the robustness of the filter. The main subjects for the evaluation are convergence speed and dynamical model complexity. Such assessment is based on comparing the UKF
J. Aerosp. Technol. Manag.. Publicado em: 2013-12
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9. Reconhecimento de texto e rastreamento de objetos 2D/3D / Text recognition and 2D/3D object tracking
In this thesis we address three computer vision problems: (1) the detection and recognition of flat text objects in images of real scenes; (2) the tracking of such text objects in a digital video; and (3) the tracking an arbitrary three-dimensional rigid object with known markings in a digital video. For each problem we developed innovative algorithms, which
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 19/03/2012
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10. Failure prognosis methods and offline performance evaluation
The capability of predicting failure events of systems and components can provide benefits in equipment operation and maintenance. For this reason, the subject of failure prognosis is gaining greater attention from academia and industry over the last years. This work presents novel contributions related to the development and performance evaluation of failur
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 08/12/2011
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11. Filtragem robusta recursiva para sistemas lineares a tempo discreto com parâmetros sujeitos a saltos Markovianos / Recursive robust filtering for discrete-time Markovian jump linear systems
Este trabalho trata de filtragem robusta para sistemas lineares sujeitos a saltos Markovianos discretos no tempo. Serão desenvolvidas estimativas preditoras e filtradas baseadas em algoritmos recursivos que são úteis para aplicações em tempo real. Serão desenvolvidas duas classes de filtros robustos, uma baseada em uma estratégia do tipo H \ INFINITO\
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/08/2011
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12. Navegação terrestre usando unidade de medição inercial de baixo desempenho e fusão sensorial com filtro de Kalman adaptativo suavizado. / Terrestrial navigation using low-grade inertial measurement unit and sensor fusion with smoothed adaptive Kalman filter.
This work presents the development of the mathematical models and the algorithms of a sensor fusion system for terrestrial navigation using a low-grade inertial measurement unit (IMU) and the Extended Kalman Filter. The models were developed on the basis of the strapdown inertial navigation systems (SINS). Low-grade designates an IMU that is not able to perf
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/06/2011