AproximaÃÃo de nuvens de pontos de dados por meio de superfÃcies de BÃzier
AUTOR(ES)
Alexsandro Santos Soares
DATA DE PUBLICAÇÃO
2007
RESUMO
The computational and empirical modelling of geophysical phenomena, such as F region zonal plasma drifts, is a basic tool for the understanding and forecasting of effects that have great social-economic impact on the human activities. This work proposes, develops and implements a model, based on Computer Aided Geometric Design techniques, to F region zonal plasma drifts over Jicamarca, Peru. Amongst the developed models, that which shows itself as having the greatest success uses BÃzier curve fitting with least-square methods. Other models used, such as wavelet theory, minimax and Kalman filters, had also been attempted, but without the same success. The main data source was the incoherent scatter radar measurements installed in the Jicamarca Radio Observatory. This data was preprocessed in order to carry out error handling and to improve its statistical quality. The preprocessed data formed the basis to the quiet and disturbed time zonal dritfs models construction. The models had been implemented in the functional programming language Objective Caml, an efficient, concise and well tailored programming language in numerical calculus.
ASSUNTO(S)
engenharia eletrica curvas de bÃzier filtro de kalman bÃzier curves kalman filter modelagem auxiliada por computador ondaletas computer aided geometric design wavelets geofÃsica geofÃsica espacial polinÃmios de bernstein spatial geophysics bernstein polynomials processamento eletrÃnico de dados
