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: The Fundamentals of Signal AnalysisThe Fundamentals of Signal Analysis
- Agilent Technologies
This text is a primer for those who are unfamiliar with the advantages of analysis in the frequency and modal domains and Dynamic Signal Analyzers. The authors avoid the use of rigorous mathematics and instead depend on heuristic arguments.
(14538 views)
Book cover: Introduction to Digital Filters: with Audio ApplicationsIntroduction to Digital Filters: with Audio Applications
by - W3K Publishing
An introduction to digital filters, it covers mathematical theory, useful examples, audio applications, and some software starting points and Matlab programming examples. The theory treats concepts in digital filter analysis and linear systems theory.
(23033 views)
Book cover: The Scientist and Engineer's Guide to Digital Signal ProcessingThe Scientist and Engineer's Guide to Digital Signal Processing
by - California technical Publishing
Digital Signal Processing is one of the most powerful technologies that will shape science and engineering in the twenty-first century. The book presents the fundamentals of DSP using examples from common science and engineering problems.
(65808 views)
Book cover: Signal Computing: Digital Signals in the Software DomainSignal Computing: Digital Signals in the Software Domain
by - University of Washington Bothell
The specific topics we will cover include: physical properties of the source information, devices for information capture, digitization, compression, digital signal representation, digital signal processing and network communication.
(7683 views)