Name: A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) (en Inglés)
SKU: 51201798
Price: 89.65 USD
Availability: InStock
Author: Simon Foucart; Holger Rauhut
ISBN: 9780817649470

portada A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) (en Inglés)

A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) (en Inglés)

Formato

Libro Físico

Editorial

Birkhäuser

Autor

Simon Foucart; Holger Rauhut

Año

2013

Idioma

Inglés

N° páginas

644

Encuadernación

Tapa Dura

ISBN13

9780817649470

N° edición

2013

Categorías

Ciencias de la computación

A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) (en Inglés)

Simon Foucart; Holger Rauhut (Autor) · Birkhäuser · Tapa Dura

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Reseña del libro "A Mathematical Introduction to Compressive Sensing (Applied and Numerical Harmonic Analysis) (en Inglés)"

At the intersection of mathematics, engineering, and computer science sits the thriving field of compressive sensing. Based on the premise that data acquisition and compression can be performed simultaneously, compressive sensing finds applications in imaging, signal processing, and many other domains. In the areas of applied mathematics, electrical engineering, and theoretical computer science, an explosion of research activity has already followed the theoretical results that highlighted the efficiency of the basic principles. The elegant ideas behind these principles are also of independent interest to pure mathematicians.A Mathematical Introduction to Compressive Sensing gives a detailed account of the core theory upon which the field is build. With only moderate prerequisites, it is an excellent textbook for graduate courses in mathematics, engineering, and computer science. It also serves as a reliable resource for practitioners and researchers in these disciplines who want to acquire a careful understanding of the subject. A Mathematical Introduction to Compressive Sensing uses a mathematical perspective to present the core of the theory underlying compressive sensing.