Hidden Markov models applied to smooth, continuously evolving physical systems can produce reproducible but fictitious discrete states, tunable by measurement noise and data binning.
Jelinek ,\ @noop title Statistical methods for speech recognition \ ( publisher MIT press ,\ year 1998 ) NoStop
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A cautious user's guide in applying HMMs to physical systems
Hidden Markov models applied to smooth, continuously evolving physical systems can produce reproducible but fictitious discrete states, tunable by measurement noise and data binning.