Robust Statistics For Signal Processing
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Robust Statistics For Signal Processing
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Author : Abdelhak M. Zoubir
language : en
Publisher: Cambridge University Press
Release Date : 2018-11-08
Robust Statistics For Signal Processing written by Abdelhak M. Zoubir and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-08 with Mathematics categories.
Understand the benefits of robust statistics for signal processing using this unique and authoritative text.
Topics In Robust Statistical Signal Processing
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Author : Kenneth Steven Vastola
language : en
Publisher:
Release Date : 1982
Topics In Robust Statistical Signal Processing written by Kenneth Steven Vastola and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1982 with Electric filters, Digital categories.
This dissertation addresses several problems in robust signal processing. The term robust in this context implies insensitivity to small deviations from the assumed statistical description of the signal and/or noise. The first part of this thesis considers the problem of linear minimum-mean-square-error estimation of a stationary signal observed in additive stationary noise when knowledge of the signal spectrum and noise spectrum is inexact. In the second part of this dissertation, a previously developed cohesive theory of robust hypothesis testing in which uncertainty is modeled via 2-alternating Choquet capacity classes is considered in light of recent applications of this theory to problems in robust signal processing and communication theory.
Academic Press Library In Signal Processing
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Author : Mats Viberg
language : en
Publisher: Academic Press
Release Date : 2013-08-31
Academic Press Library In Signal Processing written by Mats Viberg and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-08-31 with Technology & Engineering categories.
This third volume, edited and authored by world leading experts, gives a review of the principles, methods and techniques of important and emerging research topics and technologies in array and statistical signal processing. With this reference source you will: - Quickly grasp a new area of research - Understand the underlying principles of a topic and its application - Ascertain how a topic relates to other areas and learn of the research issues yet to be resolved - Quick tutorial reviews of important and emerging topics of research in array and statistical signal processing - Presents core principles and shows their application - Reference content on core principles, technologies, algorithms and applications - Comprehensive references to journal articles and other literature on which to build further, more specific and detailed knowledge - Edited by leading people in the field who, through their reputation, have been able to commission experts to write on a particular topic
Natural Electromagnetic Fields In Pure And Applied Geophysics
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Author : Kalyan Kumar Roy
language : en
Publisher: Springer Nature
Release Date : 2020-02-22
Natural Electromagnetic Fields In Pure And Applied Geophysics written by Kalyan Kumar Roy and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-22 with Science categories.
This research monograph presents all the branches of geophysics based on natural electromagnetic fields and their associated subjects. Meant for postgraduate and research level courses, it includes research guidance and collection of magnetotelluric data in some parts of Eastern India and their qualitative and quantitative interpretation. Specific topics highlighted include (i) Electrotellurics, (ii) Magnetotellurics, (iii) Geomagnetic Depth Sounding and Magnetometer Array Studies, (iv) Audio Frequency Magnetotellurics and Magnetic Methods, (v) Marine Magnetotelluric and Marine Controlled Source Electromagnetic Methods, (vi) Electrical Conductivity of Rocks and Minerals and (vii) Mathematical Modelling and Some Topics on Inversion needed for Interpretation of Geoelectrical Data.
Recent Advances In Robust Statistics Theory And Applications
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Author : Claudio Agostinelli
language : en
Publisher: Springer
Release Date : 2016-11-10
Recent Advances In Robust Statistics Theory And Applications written by Claudio Agostinelli and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-11-10 with Business & Economics categories.
This book offers a collection of recent contributions and emerging ideas in the areas of robust statistics presented at the International Conference on Robust Statistics 2015 (ICORS 2015) held in Kolkata during 12–16 January, 2015. The book explores the applicability of robust methods in other non-traditional areas which includes the use of new techniques such as skew and mixture of skew distributions, scaled Bregman divergences, and multilevel functional data methods; application areas being circular data models and prediction of mortality and life expectancy. The contributions are of both theoretical as well as applied in nature. Robust statistics is a relatively young branch of statistical sciences that is rapidly emerging as the bedrock of statistical analysis in the 21st century due to its flexible nature and wide scope. Robust statistics supports the application of parametric and other inference techniques over a broader domain than the strictly interpreted model scenarios employed in classical statistical methods. The aim of the ICORS conference, which is being organized annually since 2001, is to bring together researchers interested in robust statistics, data analysis and related areas. The conference is meant for theoretical and applied statisticians, data analysts from other fields, leading experts, junior researchers and graduate students. The ICORS meetings offer a forum for discussing recent advances and emerging ideas in statistics with a focus on robustness, and encourage informal contacts and discussions among all the participants. They also play an important role in maintaining a cohesive group of international researchers interested in robust statistics and related topics, whose interactions transcend the meetings and endure year round.
Optimal Decision Statistics
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Author : Pasquale De Marco
language : en
Publisher: Pasquale De Marco
Release Date : 2025-04-06
Optimal Decision Statistics written by Pasquale De Marco and has been published by Pasquale De Marco this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-06 with Mathematics categories.
In an era defined by uncertainty and complexity, Optimal Decision Statistics emerges as a beacon of clarity and guidance. This comprehensive and engaging book provides a thorough exploration of statistical decision theory and its wide-ranging applications, empowering readers to make informed and optimal decisions in the face of uncertainty. Written with clarity and rigor, Optimal Decision Statistics offers a systematic and accessible approach to understanding the fundamental principles of decision-making under uncertainty. Rooted in probability theory and statistical inference, this book equips readers with the tools and techniques necessary to navigate the complexities of decision-making in diverse scenarios. The book's comprehensive coverage encompasses a wide spectrum of topics, from the foundational concepts of probability theory and statistical inference to cutting-edge developments in decision statistics. Each chapter is meticulously crafted to build upon the preceding material, ensuring a smooth and comprehensive learning experience for readers of all backgrounds. Real-world examples and case studies are skillfully interwoven throughout the text, bringing the abstract concepts to life and showcasing the practical relevance of statistical decision theory in fields as varied as finance, medicine, engineering, and social sciences. These examples not only solidify the reader's understanding but also highlight the far-reaching impact of decision statistics in shaping our world. Optimal Decision Statistics is an invaluable resource for students, researchers, and practitioners seeking to deepen their understanding of decision-making under uncertainty. Its clear explanations, engaging writing style, and comprehensive coverage make it an indispensable guide for anyone looking to make informed and optimal decisions in the face of uncertainty. Whether you are a seasoned professional seeking to enhance your decision-making skills or a student eager to master the intricacies of statistical decision theory, Optimal Decision Statistics is the definitive guide to navigating the challenges of decision-making under uncertainty. If you like this book, write a review!
Applications And Optimizations Of Kalman Filter And Their Variants
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Author : Asadullah Khalid
language : en
Publisher: BoD – Books on Demand
Release Date : 2024-07-17
Applications And Optimizations Of Kalman Filter And Their Variants written by Asadullah Khalid and has been published by BoD – Books on Demand this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-17 with Mathematics categories.
Applications and Optimizations of Kalman Filter and Their Variants is a comprehensive exploration of Kalman filters’ diverse applications and refined optimizations across various domains. It meticulously examines their role in microgrid management, offering adaptive estimation techniques for effective control strategies. The book then delves into distribution system state estimation, showcasing an innovative stochastic programming model using extended Kalman filters for reliable monitoring and control. In the realm of financial modeling, readers gain insights into how Kalman filters enhance trading strategies like pairs trading and partial co-integration, bridging finance and analytics. Moreover, the book discusses Kalman filter optimization, addressing challenges in object tracking and error reduction with techniques like dynamic stochastic approximation algorithms and M-robust estimates. With practical examples and interdisciplinary approaches, this book serves as a valuable resource for researchers, practitioners, and students looking to harness Kalman filter techniques for enhanced efficiency and accuracy across diverse fields.
Time Frequency Analysis
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Author : Boualem Boashash
language : en
Publisher: Elsevier
Release Date : 2003-10-16
Time Frequency Analysis written by Boualem Boashash and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-10-16 with Technology & Engineering categories.
Time Frequency Signal Analysis and Processing covers fundamental concepts, principles and techniques, treatment of specialised and advanced topics, methods and applications, including results of recent research. This book deals with the modern methodologies, key techniques and concepts that form the core of new technologies used in IT, multimedia, telecommunications as well as most fields of engineering, science and technology. It focuses on advanced techniques and methods that allow a refined extraction and processing of information, allowing efficient and effective decision making that would not be possible with classical techniques. The Author, fellow of IEEE for Pioneering contributions to time-frequency analysis and signal processing education, is an expert in the field, having written over 300 papers on the subject over a period pf 25 years. This is a REAL book, not a mere collection of specialised papers, making it essential reading for researchers and practitioners in the field of signal processing.*The most comprehensive text and reference book published on the subject, all the most up to date research on this subject in one place*Key computer procedures and code are provided to assist the reader with practical implementations and applications*This book brings together the main knowledge of time-frequency signal analysis and processing, (TFSAP), from theory and applications, in a user-friendly reference suitable for both experts and beginners
China Satellite Navigation Conference Csnc 2021 Proceedings
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Author : Changfeng Yang
language : en
Publisher: Springer Nature
Release Date : 2021-06-09
China Satellite Navigation Conference Csnc 2021 Proceedings written by Changfeng Yang and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-09 with Technology & Engineering categories.
China Satellite Navigation Conference (CSNC 2021) Proceedings presents selected research papers from CSNC 2021 held during 22nd-25th May, 2021 in Nanchang, China. These papers discuss the technologies and applications of the Global Navigation Satellite System (GNSS), and the latest progress made in the China BeiDou System (BDS) especially. They are divided into 10 topics to match the corresponding sessions in CSNC2021 which broadly covered key topics in GNSS. Readers can learn about the BDS and keep abreast of the latest advances in GNSS techniques and applications.
Modern Nonparametric Robust And Multivariate Methods
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Author : Klaus Nordhausen
language : en
Publisher: Springer
Release Date : 2015-10-05
Modern Nonparametric Robust And Multivariate Methods written by Klaus Nordhausen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-05 with Mathematics categories.
Written by leading experts in the field, this edited volume brings together the latest findings in the area of nonparametric, robust and multivariate statistical methods. The individual contributions cover a wide variety of topics ranging from univariate nonparametric methods to robust methods for complex data structures. Some examples from statistical signal processing are also given. The volume is dedicated to Hannu Oja on the occasion of his 65th birthday and is intended for researchers as well as PhD students with a good knowledge of statistics.