Logo

Detection of Abrupt Changes: Theory and Application

Small book cover: Detection of Abrupt Changes: Theory and Application

Detection of Abrupt Changes: Theory and Application
by

Publisher: Prentice-Hall
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

Book cover: Signal ProcessingSignal Processing
by - InTech
The exponential development of computer power over the last few decades, transformed signal processing in an essential tool for a wide range of domains such as telecommunications. This book provides highlights of the current research in the area.
(15096 views)
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.
(15419 views)
Book cover: Kalman Filter Recent Advances and ApplicationsKalman Filter Recent Advances and Applications
by - 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.
(16941 views)
Book cover: Bayesian InferenceBayesian Inference
by - InTech
This book takes a look at both theoretical foundations and practical implementations of Bayesian inference. It is intended as an introductory guide for the application of Bayesian inference in the fields of life sciences, engineering, and economics.
(8263 views)