Hidden Markov Models: Estimation and Control
by R. J. Elliott, L. Aggoun, J. B. Moore
Publisher: Springer 1995
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
Kalman Filter Recent Advances and Applicationsby Victor M. Moreno, Alberto Pigazo - INTECH
An overview of recent developments in Kalman filter theory and their applications in engineering and scientific fields. The book covers recent advances in Kalman filtering theory and applications in electrical engineering and other areas.
(14970 views)
Introduction to Digital Filters: with Audio Applicationsby Julius O. Smith III - 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.
(21553 views)
Statistical Spectral Analysis: A Non-Probabilistic Theoryby William A. Gardner - Prentice Hall
This book is intended to serve as both a graduate-level textbook and a technical reference. The focus is on fundamental concepts, analytical techniques, and basic empirical methods. The only prerequisite is an introductory course on Fourier analysis.
(9469 views)
Fourier Transform - Signal Processingby Salih Mohammed Salih - InTech
This book focuses on the Fourier transform applications in signal processing techniques. Topics covered: DFT, FFT, OFDM, estimation techniques and the image processing techniques. Written for electrical engineers, communication engineers, etc.
(10832 views)