Detection of Abrupt Changes: Theory and Application
by Michele Basseville, Igor V. Nikiforov
Publisher: Prentice-Hall 1993
ISBN/ASIN: 0131267809
ISBN-13: 9780131267800
Number of pages: 469
Description:
This book presents mathematical tools and techniques for solving change detection problems in wide domains like signal processing, controlled systems and monitoring. The book covers a wide class of stochastic processes, from scalar independent observations to multidimensional dependent ARMA and state-space models, the properties of the algorithms for statistical change detection, tuning and optimizing change detection in real-world applications. The book is intended for engineers and researchers involved in signal processing, and others.
Download or read it online for free here:
Download link
(2.9MB, PDF)
Similar books
Physical Audio Signal Processingby Julius O. Smith III - DSPRelated.com
This book was developed for a course entitled 'Signal Processing Methods in Musical Acoustics'. The text was created primarily as a research preparation and dissemination vehicle intended for graduate students in computer music and engineering.
(17613 views)
Fourier Transforms: High-tech Application and Current Trendsby G. Nikolic, M. Cakic, D. Cvetkovic (eds) - InTech
The book provides a review on recent advances in Fourier transforms as the most powerful analytical tool for applications in electronic and computer engineering, as well as spectral techniques with a wide range of nanotechnological applications.
(6670 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.
(21638 views)
Hidden Markov Models: Estimation and Controlby R. J. Elliott, L. Aggoun, J. B. Moore - Springer
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. Readers are assumed to have basic grounding in probability and systems theory.
(14434 views)