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  • C Faure
  • 1985
This paper presents a structural pattern recognition system for signals interpreted and described by a human expert. For each pattern to be recognized, the signal is represented by a sequence of local information ('types of primitives') which is syntactically correct if some 'structural attributes' are satisfied. Types of primitives and structural(More)
A three-dimensional wide-angle parabolic equation (3DPE) is used to model low frequency sound propagation in irregular urban canyons at low computational cost. This one-way wave equation is solved using the Alternating Direction Implicit method. A finite difference scheme adapted to the geometry of the urban environment is then developed. Abrupt variations(More)
The aim of automatic EEG analysis is to detect and class the significant events of the signal. For the detection phase an autoregressive model is developed giving rise to non-stationary points. The model used to analyse information in each event goes further than the problem of existence or non-existence. It is possible to understand qualitative aspects(More)
Many signals can be defined as a background interrupted by events. Our studied signal, the electroencephalogram, belongs to a special field of experiments in which an expert interprets these events. To carry out automatically this interpretation we have to deal with different approaches, e.g. signal processing, pattern recognition and artificial(More)
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