Sampling Theory, a Renaissance

Sampling Theory, a Renaissance
Author: Götz E. Pfander
Publisher: Birkhäuser
Total Pages: 532
Release: 2015-12-08
Genre: Mathematics
ISBN: 3319197495

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Reconstructing or approximating objects from seemingly incomplete information is a frequent challenge in mathematics, science, and engineering. A multitude of tools designed to recover hidden information are based on Shannon’s classical sampling theorem, a central pillar of Sampling Theory. The growing need to efficiently obtain precise and tailored digital representations of complex objects and phenomena requires the maturation of available tools in Sampling Theory as well as the development of complementary, novel mathematical theories. Today, research themes such as Compressed Sensing and Frame Theory re-energize the broad area of Sampling Theory. This volume illustrates the renaissance that the area of Sampling Theory is currently experiencing. It touches upon trendsetting areas such as Compressed Sensing, Finite Frames, Parametric Partial Differential Equations, Quantization, Finite Rate of Innovation, System Theory, as well as sampling in Geometry and Algebraic Topology.

Elements of sampling theory

Elements of sampling theory
Author: Vic Barnett
Publisher:
Total Pages: 0
Release: 1988
Genre: Sampling (Statistics)
ISBN:

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The Use of Frames in Sampling Theory

The Use of Frames in Sampling Theory
Author: Antonio García García
Publisher: Springer Nature
Total Pages: 314
Release:
Genre:
ISBN: 3031632427

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Sampling: Theory and Applications

Sampling: Theory and Applications
Author: Stephen D. Casey
Publisher: Springer Nature
Total Pages: 210
Release: 2020-05-20
Genre: Mathematics
ISBN: 3030362914

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The chapters of this volume are based on talks given at the eleventh international Sampling Theory and Applications conference held in 2015 at American University in Washington, D.C. The papers highlight state-of-the-art advances and trends in sampling theory and related areas of application, such as signal and image processing. Chapters have been written by prominent mathematicians, applied scientists, and engineers with an expertise in sampling theory. Claude Shannon’s 100th birthday is also celebrated, including an introductory essay that highlights Shannon’s profound influence on the field. The topics covered include both theory and applications, such as: • Compressed sensing• Non-uniform and wave sampling• A-to-D conversion• Finite rate of innovation• Time-frequency analysis• Operator theory• Mobile sampling issues Sampling: Theory and Applications is ideal for mathematicians, engineers, and applied scientists working in sampling theory or related areas.

Sampling Theory and Methods

Sampling Theory and Methods
Author: S. Sampath
Publisher: Alpha Science Int'l Ltd.
Total Pages: 218
Release: 2005
Genre: Sampling (Statistics)
ISBN: 9781842652145

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Sampling Theory and Methods presents in detail several sampling schemes like simple random sampling, unequal probability sampling methods, systematic, stratified, cluster and multistage sampling. In addition to sampling schemes a number of estimating methods which include ratio and regression estimators are also discussed. The use of superpopulation models is covered in detail along with recent developments including estimation of distribution functions, adaptive sampling schemes etc. New to the Second Edition: *Contents reorganized to establish a coherent link between various concepts *Several numerical examples associated with real life solutions for bringing out the relevance of theory in real life context

Sampling Theory

Sampling Theory
Author:
Publisher:
Total Pages: 302
Release: 1971
Genre:
ISBN:

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Pierre Gy's Sampling Theory and Sampling Practice, Second Edition

Pierre Gy's Sampling Theory and Sampling Practice, Second Edition
Author: Francis F. Pitard
Publisher: CRC Press
Total Pages: 524
Release: 1993-08-03
Genre: Mathematics
ISBN: 9780849389177

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Pierre Gy's Sampling Theory and Sampling Practice, Second Edition is a concise, step-by-step guide for process variability management and methods. Updated and expanded, this new edition provides a comprehensive study of heterogeneity, covering the basic principles of sampling theory and its various applications. It presents many practical examples to allow readers to select appropriate sampling protocols and assess the validity of sampling protocols from others. The variability of dynamic process streams using variography is discussed to help bridge sampling theory with statistical process control. Many descriptions of good sampling devices, as well as descriptions of poor ones, are featured to educate readers on what to look for when purchasing sampling systems. The book uses its accessible, tutorial style to focus on professional selection and use of methods. The book will be a valuable guide for mineral processing engineers; metallurgists; geologists; miners; chemists; environmental scientists; and practitioners in chemical, cement, steel, power generation, high performance materials, recycling, cereal, and pharmaceutical industries.

Modern Sampling Theory

Modern Sampling Theory
Author: John J. Benedetto
Publisher: Springer Science & Business Media
Total Pages: 423
Release: 2012-12-06
Genre: Mathematics
ISBN: 1461201438

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A state-of-the-art edited survey covering all aspects of sampling theory. Theory, methods and applications are discussed in authoritative expositions ranging from multi-dimensional signal analysis to wavelet transforms. The book is an essential up-to-date resource.

Advances in Sampling Theory-Ratio Method of Estimation

Advances in Sampling Theory-Ratio Method of Estimation
Author: Hulya Cingi
Publisher: Bentham Science Publishers
Total Pages: 129
Release: 2009-08-11
Genre: Mathematics
ISBN: 1608050122

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"Ratio Method of Estimation - This is an ideal textbook for researchers interested in sampling methods, survey methodologists in government organizations, academicians, and graduate students in statistics, mathematics and biostatistics. This textbook makes"

Sampling Theory and Practice

Sampling Theory and Practice
Author: Changbao Wu
Publisher: Springer Nature
Total Pages: 371
Release: 2020-05-15
Genre: Social Science
ISBN: 3030442462

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The three parts of this book on survey methodology combine an introduction to basic sampling theory, engaging presentation of topics that reflect current research trends, and informed discussion of the problems commonly encountered in survey practice. These related aspects of survey methodology rarely appear together under a single connected roof, making this book a unique combination of materials for teaching, research and practice in survey sampling. Basic knowledge of probability theory and statistical inference is assumed, but no prior exposure to survey sampling is required. The first part focuses on the design-based approach to finite population sampling. It contains a rigorous coverage of basic sampling designs, related estimation theory, model-based prediction approach, and model-assisted estimation methods. The second part stems from original research conducted by the authors as well as important methodological advances in the field during the past three decades. Topics include calibration weighting methods, regression analysis and survey weighted estimating equation (EE) theory, longitudinal surveys and generalized estimating equations (GEE) analysis, variance estimation and resampling techniques, empirical likelihood methods for complex surveys, handling missing data and non-response, and Bayesian inference for survey data. The third part provides guidance and tools on practical aspects of large-scale surveys, such as training and quality control, frame construction, choices of survey designs, strategies for reducing non-response, and weight calculation. These procedures are illustrated through real-world surveys. Several specialized topics are also discussed in detail, including household surveys, telephone and web surveys, natural resource inventory surveys, adaptive and network surveys, dual-frame and multiple frame surveys, and analysis of non-probability survey samples. This book is a self-contained introduction to survey sampling that provides a strong theoretical base with coverage of current research trends and pragmatic guidance and tools for conducting surveys.