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Sampling Theory, a Renaissance

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Release : 2015-12-08
Genre : Mathematics
Kind : eBook
Book Rating : 495/5 ( reviews)

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Book Synopsis Sampling Theory, a Renaissance by : Götz E. Pfander

Download or read book Sampling Theory, a Renaissance written by Götz E. Pfander. This book was released on 2015-12-08. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Release : 1988
Genre : Sampling (Statistics)
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Elements of sampling theory by : Vic Barnett

Download or read book Elements of sampling theory written by Vic Barnett. This book was released on 1988. Available in PDF, EPUB and Kindle. Book excerpt:

The Use of Frames in Sampling Theory

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Kind : eBook
Book Rating : 427/5 ( reviews)

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Book Synopsis The Use of Frames in Sampling Theory by : Antonio García García

Download or read book The Use of Frames in Sampling Theory written by Antonio García García. This book was released on . Available in PDF, EPUB and Kindle. Book excerpt:

Sampling: Theory and Applications

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Release : 2020-05-20
Genre : Mathematics
Kind : eBook
Book Rating : 914/5 ( reviews)

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Book Synopsis Sampling: Theory and Applications by : Stephen D. Casey

Download or read book Sampling: Theory and Applications written by Stephen D. Casey. This book was released on 2020-05-20. Available in PDF, EPUB and Kindle. Book excerpt: 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

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Release : 2005
Genre : Sampling (Statistics)
Kind : eBook
Book Rating : 145/5 ( reviews)

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Book Synopsis Sampling Theory and Methods by : S. Sampath

Download or read book Sampling Theory and Methods written by S. Sampath. This book was released on 2005. Available in PDF, EPUB and Kindle. Book excerpt: 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

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