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- W1745207907 abstract "This paper deals with maximum likelihood and least square segmentation of autoregres- sive random sequences with abruptly changing parameters. Conditional distribution of the obser- vations has been derived. Objective function was modified to the form suitable to apply dynamic programming method for its optimization. Expressions of Bellman functions for this case were obtained. Performance of presented approach is illustrated with simulation examples and segmen- tation of speech signals examples." @default.
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- W1745207907 date "2000-01-01" @default.
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- W1745207907 title "Optimal Segmentation of Random Sequences" @default.
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- W1745207907 doi "https://doi.org/10.3233/inf-2000-11303" @default.
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