Hidden Markov models

Robert J. Elliott

at 250 WPM

6h 20m

The average reader, reading at a speed of 250 WPM, would take 6h 20m to read Hidden Markov models.

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13

days at 30 min/day

380

total minutes

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Hidden Markov models

by Robert J. Elliott, Lakhdar Aggoun, John B. Moore

January 9, 1997

Springer

380

9780387943640

0387943641

Description

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 Wonham 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 nonlinear models, and from completely known models to only partially known models. Readers are assumed to have a basic grounding in probability and systems theory, such 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 the usefulness of these methods.

Frequently Asked Questions

How many pages are in Hidden Markov models?

This edition of Hidden Markov models has approximately 380 pages. Please note, this is an estimate and the exact page count can vary between hardcover, paperback, and e-book versions.

How long does it take to read Hidden Markov models?

For most readers, Hidden Markov models typically takes between 7h 55m and 5h 17m to complete. This is based on the book's length of approximately 95,000 words and common reading speeds.

Here's a detailed breakdown: • Continuous reading at 250 WPM: approximately 6h 20m of focused reading • Casual reading (30 minutes/day): you could finish in roughly 13 days • Estimated word count: 95,000 words

Your individual reading time will vary based on your personal reading pace, the amount of daily reading time, and your familiarity with the subject matter.

What is the word count of Hidden Markov models?

The estimated word count for Hidden Markov models is approximately 95,000 words. This figure is calculated using industry-standard methods that consider genre-specific word density patterns, typical formatting and layout characteristics, and standard words-per-page ratios for published books.

This is an approximation — actual word count may vary based on font size, formatting, edition, and the presence of illustrations or charts.

Who is the author of Hidden Markov models?

Hidden Markov models was written by Robert J. Elliott, Lakhdar Aggoun, John B. Moore.

When was Hidden Markov models published?

The publication date for this specific edition is January 9, 1997. The original work may have been published on a different date.