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Detection of Abrupt Changes

Detection of Abrupt Changes
Author: Michèle Basseville
Publisher:
Total Pages: 568
Release: 1993
Genre: Mathematics
ISBN:

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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, including scalar independent observations and multidimensional dependent ARMA.


Quickest Detection

Quickest Detection
Author: H. Vincent Poor
Publisher: Cambridge University Press
Total Pages: 244
Release: 2008-11-20
Genre: Technology & Engineering
ISBN: 9780521621045

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The problem of detecting abrupt changes in the behavior of an observed signal or time series arises in a variety of fields, including climate modeling, finance, image analysis, and security. Quickest detection refers to real-time detection of such changes as quickly as possible after they occur. Using the framework of optimal stopping theory, this book describes the fundamentals underpinning the field, providing the background necessary to design, analyze, and understand quickest detection algorithms. For the first time the authors bring together results which were previously scattered across disparate disciplines, and provide a unified treatment of several different approaches to the quickest detection problem. This book is essential reading for anyone who wants to understand the basic statistical procedures for change detection from a fundamental viewpoint, and for those interested in theoretical questions of change detection. It is ideal for graduate students and researchers of engineering, statistics, economics, and finance.


Sequential Analysis

Sequential Analysis
Author: Alexander Tartakovsky
Publisher: CRC Press
Total Pages: 600
Release: 2014-08-27
Genre: Mathematics
ISBN: 1439838216

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Sequential Analysis: Hypothesis Testing and Changepoint Detection systematically develops the theory of sequential hypothesis testing and quickest changepoint detection. It also describes important applications in which theoretical results can be used efficiently. The book reviews recent accomplishments in hypothesis testing and changepoint detecti


Advances in VLSI, Communication, and Signal Processing

Advances in VLSI, Communication, and Signal Processing
Author: Debashis Dutta
Publisher: Springer Nature
Total Pages: 1004
Release: 2019-12-03
Genre: Technology & Engineering
ISBN: 9813297751

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This book comprises select proceedings of the International Conference on VLSI, Communication and Signal processing (VCAS 2018). It looks at latest research findings in VLSI design and applications. The book covers a wide range of topics in electronics and communication engineering, especially in the area of microelectronics and VLSI design, communication systems and networks, and image and signal processing. The contents of this book will be useful to researchers and professionals alike.


Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing
Author: Leszek Rutkowski
Publisher: Springer Nature
Total Pages: 547
Release: 2020-10-20
Genre: Computers
ISBN: 3030615340

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The two-volume set LNCS 12415 and 12416 constitutes the refereed proceedings of of the 19th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2020, held in Zakopane, Poland*, in October 2020. The 112 revised full papers presented were carefully reviewed and selected from 265 submissions. The papers included in the first volume are organized in the following six parts: ​neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; bioinformatics, biometrics and medical applications; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following four parts: computer vision, image and speech analysis; data mining; various problems of artificial intelligence; agent systems, robotics and control. *The conference was held virtually due to the COVID-19 pandemic.


Detection of Abrupt Changes in Signals and Dynamical Systems

Detection of Abrupt Changes in Signals and Dynamical Systems
Author: Michele Basseville
Publisher: Springer
Total Pages: 375
Release: 2014-03-12
Genre: Technology & Engineering
ISBN: 9783662207512

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Papers from a Conference Held in Paris, March 21-22, 1984


Data Management, Analytics and Innovation

Data Management, Analytics and Innovation
Author: Neha Sharma
Publisher: Springer Nature
Total Pages: 494
Release: 2019-09-24
Genre: Technology & Engineering
ISBN: 9811393648

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This book presents the latest findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It addresses state-of-the-art topics and discusses challenges and solutions for future development. Gathering original, unpublished contributions by scientists from around the globe, the book is mainly intended for a professional audience of researchers and practitioners in academia and industry.


Sequential Change Detection and Hypothesis Testing

Sequential Change Detection and Hypothesis Testing
Author: Alexander Tartakovsky
Publisher: CRC Press
Total Pages: 321
Release: 2019-12-11
Genre: Mathematics
ISBN: 1498757596

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Statistical methods for sequential hypothesis testing and changepoint detection have applications across many fields, including quality control, biomedical engineering, communication networks, econometrics, image processing, security, etc. This book presents an overview of methodology in these related areas, providing a synthesis of research from the last few decades. The methods are illustrated through real data examples, and software is referenced where possible. The emphasis is on providing all the theoretical details in a unified framework, with pointers to new research directions.


Long Memory in Economics

Long Memory in Economics
Author: Gilles Teyssière
Publisher: Springer Science & Business Media
Total Pages: 394
Release: 2006-09-22
Genre: Business & Economics
ISBN: 3540346252

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Assembles three different strands of long memory analysis: statistical literature on the properties of, and tests for, LRD processes; mathematical literature on the stochastic processes involved; and models from economic theory providing plausible micro foundations for the occurrence of long memory in economics.