[PDF] Sampling Theory And Applications eBook

Author : Stephen D. Casey
Publisher : Birkhäuser
Page : 197 pages
File Size : 49,72 MB
Release : 2020-05-01
Category : Mathematics
ISBN : 9783030362904

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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 Computational neuroscience 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.

Author : John J. Benedetto
Publisher : Springer Science & Business Media
Page : 423 pages
File Size : 42,19 MB
Release : 2012-12-06
Category : 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.

Author : Raghunath Arnab
Publisher : Academic Press
Page : 932 pages
File Size : 22,6 MB
Release : 2017-03-08
Category : Mathematics
ISBN : 0128118970

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Survey Sampling Theory and Applications offers a comprehensive overview of survey sampling, including the basics of sampling theory and practice, as well as research-based topics and examples of emerging trends. The text is useful for basic and advanced survey sampling courses. Many other books available for graduate students do not contain material on recent developments in the area of survey sampling. The book covers a wide spectrum of topics on the subject, including repetitive sampling over two occasions with varying probabilities, ranked set sampling, Fays method for balanced repeated replications, mirror-match bootstrap, and controlled sampling procedures. Many topics discussed here are not available in other text books. In each section, theories are illustrated with numerical examples. At the end of each chapter theoretical as well as numerical exercises are given which can help graduate students. Covers a wide spectrum of topics on survey sampling and statistics Serves as an ideal text for graduate students and researchers in survey sampling theory and applications Contains material on recent developments in survey sampling not covered in other books Illustrates theories using numerical examples and exercises

Author : S. Singh
Publisher : Springer
Page : 1219 pages
File Size : 33,43 MB
Release : 2012-11-14
Category : Medical
ISBN : 9789401037280

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This book is a multi-purpose document. It can be used as a text by teachers, as a reference manual by researchers, and as a practical guide by statisticians. It covers 1165 references from different research journals through almost 1900 citations across 1194 pages, a large number of complete proofs of theorems, important results such as corollaries, and 324 unsolved exercises from several research papers. It includes 159 solved, data-based, real life numerical examples in disciplines such as Agriculture, Demography, Social Science, Applied Economics, Engineering, Medicine, and Survey Sampling. These solved examples are very useful for an understanding of the applications of advanced sampling theory in our daily life and in diverse fields of science. An additional 173 unsolved practical problems are given at the end of the chapters. University and college professors may find these useful when assigning exercises to students. Each exercise gives exposure to several complete research papers for researchers/students.

Author : Zehua Chen
Publisher : Springer Science & Business Media
Page : 235 pages
File Size : 16,10 MB
Release : 2013-03-09
Category : Mathematics
ISBN : 0387216642

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The first book on the concept and applications of ranked set sampling. It provides a comprehensive review of the literature, and it includes many new results and novel applications. The detailed description of various methods illustrated by real or simulated data makes it useful for scientists and practitioners in application areas such as agriculture, forestry, sociology, ecological and environmental science, and medical studies. It can serve as a reference book and as a textbook for a short course at the graduate level.

Author : Pandurang Vasudeo Sukhatme
Publisher :
Page : 528 pages
File Size : 34,90 MB
Release : 1954
Category : Sampling (Statistics).
ISBN :

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Basic theory: simple random sampling. Sampling with varying probabilities. Stratified sampling. Ratio method of estimation. Regression method estimation. Choice of sampling unit. Sub-sampling. Systematic sampling. Non-sampling errors.

Author : Sarjinder Singh
Publisher : Springer Science & Business Media
Page : 640 pages
File Size : 43,53 MB
Release : 2003
Category : Mathematics
ISBN : 9781402017070

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A comprehensive expose of basic and advanced sampling techniques along with their applications in the diverse fields of science and technology.

Author : Farokh Marvasti
Publisher : Springer Science & Business Media
Page : 938 pages
File Size : 12,81 MB
Release : 2012-12-06
Category : Technology & Engineering
ISBN : 1461512298

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Our understanding of nature is often through nonuniform observations in space or time. In space, one normally observes the important features of an object, such as edges. The less important features are interpolated. History is a collection of important events that are nonuniformly spaced in time. Historians infer between events (interpolation) and politicians and stock market analysts forecast the future from past and present events (extrapolation). The 20 chapters of Nonuniform Sampling: Theory and Practice contain contributions by leading researchers in nonuniform and Shannon sampling, zero crossing, and interpolation theory. Its practical applications include NMR, seismology, speech and image coding, modulation and coding, optimal content, array processing, and digital filter design. It has a tutorial outlook for practising engineers and advanced students in science, engineering, and mathematics. It is also a useful reference for scientists and engineers working in the areas of medical imaging, geophysics, astronomy, biomedical engineering, computer graphics, digital filter design, speech and video processing, and phased array radar.

Author : Stephen D. Casey
Publisher : Springer Nature
Page : 210 pages
File Size : 38,11 MB
Release : 2020-05-20
Category : 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.