The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. These new and powerful methods are particularly useful in signal processing applications where signal models are only partially known and are in noisy environments. Well-known results, including Kalman filters and the expectation maximization filter, emerge as special cases. The authors begin with discrete time and discrete state spaces. From there, they ...
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The aim of this book is to present graduate students with a thorough survey of reference probability models and their applications to optimal estimation and control. These new and powerful methods are particularly useful in signal processing applications where signal models are only partially known and are in noisy environments. Well-known results, including Kalman filters and the expectation maximization filter, emerge as special cases. The authors begin with discrete time and discrete state spaces. From there, they proceed to cover continuous time, and progress from linear models to non-linear models, and from completely known models to only partially known models. Readers are assumed to have a basic grounding in probability and systems theory, as might be gained from the first year of graduate study, but otherwise this account is self-contained. Throughout, the authors have taken care to demonstrate engineering applications which show how useful these methods are.
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Add this copy of Hidden Markov Models: Estimation and Control to cart. $130.86, new condition, Sold by GridFreed rated 4.0 out of 5 stars, ships from North Las Vegas, NV, UNITED STATES, published 1994 by Springer.
Add this copy of Hidden Markov Models: Estimation and Control to cart. $159.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2010 by Springer-Verlag New York Inc..
Add this copy of Hidden Markov Models: Estimation and Control to cart. $159.69, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2008 by Springer-Verlag New York Inc..
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New. 382 p. Stochastic Modelling and Applied Probability , 29. XIV, 382 p. Intended for college/higher education audience. Intended for professional and scholarly audience.
