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Functional vs. Parametric• Functional Approaches (local)– Complete signals (e.g. x(t), y(t), p(t), v(t), a(t), etc.) are considered asmathematical time functions whose values are directly correlated withthe feature set.– Difficulties are encountered in the matching step (temporal differencesand non-linear distortions)– Feature extracting is relatively simple– More computationally intensive (slower), higher accuracy• Parametric Approaches– m parameters are computed as features from the measured signals– Feature extraction is very difficult (selection of meaningful features)– Simple matching techniques for comparing 2 sets of parameters can beused– Very fast matching, lower accuracy

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