Logo

Hidden Markov Models: Estimation and Control

Large book cover: Hidden Markov Models: Estimation and Control

Hidden Markov Models: Estimation and Control
by

Publisher: Springer
ISBN/ASIN: 0387943641
ISBN-13: 9780387943640
Number of pages: 373

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.

Download or read it online for free here:
Download link
(3.1MB, PDF)

Similar books

Book cover: Optimum Signal ProcessingOptimum Signal Processing
by
In this edition the emphasis is on real-time adaptive signal processing, eigenvector methods of spectrum estimation, and parallel processor implementations of optimum filtering and prediction algorithms, and including several new developments.
(6700 views)
Book cover: Elements of Signal Detection and EstimationElements of Signal Detection and Estimation
by - Prentice Hall
This is an introduction to signal-detection theory, a subject fundamental to the design of detectors of weak signals in the presence of random noise, and to the design of optimal receivers of communication, radar, sonar and optical signals.
(6655 views)
Book cover: An Introduction to Digital Signal ProcessingAn Introduction to Digital Signal Processing
by - Academic Press
The book comprises a one-semester or self-study course, filling the gap between several oversimplified introductions and more topically specialized or formal treatments. Karl's book wins notable points for its easy reading style.
(7795 views)
Book cover: Detection of Abrupt Changes: Theory and ApplicationDetection of Abrupt Changes: Theory and Application
by - Prentice-Hall
This book presents mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems and monitoring. The book is intended for engineers and researchers involved in signal processing.
(8075 views)