A Mathematical Introduction to Compressive Sensing, Simon Foucart; Holger Rauhut

Автор: Foucart Simon
Название: Mathematical Introduction to Compressive Sensing
ISBN: 0817649476 ISBN-13(EAN): 9780817649470
Издательство: Springer
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Цена: 65210.00 T
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Описание: At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.

Автор: Amit Kumar Mishra; Ryno Strauss Verster
Название: Compressive Sensing Based Algorithms for Electronic Defence
ISBN: 3319466984 ISBN-13(EAN): 9783319466989
Издательство: Springer
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Цена: 111790.00 T
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Описание: This book details some of the major developments in the implementation of compressive sensing in radio applications for electronic defense and warfare communication use.

Автор: J.C. Willems; J.W. Polderman
Название: Introduction to Mathematical Systems Theory
ISBN: 1475729553 ISBN-13(EAN): 9781475729559
Издательство: Springer
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Цена: 74530.00 T
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Описание: Using the behavioural approach to mathematical modelling, this book views a system as a dynamical relation between manifest and latent variables.

Автор: Carlos Castillo-Chavez; Sally Blower; Pauline van
Название: Mathematical Approaches for Emerging and Reemerging Infectious Diseases: An Introduction
ISBN: 1441929673 ISBN-13(EAN): 9781441929679
Издательство: Springer
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Цена: 177010.00 T
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Описание: This book grew out of the discussions and presentations that began during the Workshop on Emerging and Reemerging Diseases (May 17-21, 1999) sponsored by the Institute for Mathematics and its Application (IMA) at the University of Minnesota with the support of NIH and NSF.

Автор: Jonathan M. Borwein; Matthew P. Skerritt
Название: An Introduction to Modern Mathematical Computing
ISBN: 1493942956 ISBN-13(EAN): 9781493942954
Издательство: Springer
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Цена: 37220.00 T
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Описание: An essential read for mathematicians, this volume looks beyond the syntax and semantics of Mathematica and other programs. It focuses on why they are necessary tools for anyone who engages in mathematics, as well as showing how to create better proofs.