Compressed Sensing and its Applications: Second International MATHEON Conference 2015: New (2019)

Beschreibung

Print on Demand.

Bestandsnummer des Verk�ufers 370181770

Verk�ufer kontaktieren

Diesen Artikel melden

Bibliografische Details

Titel: Compressed Sensing and its Applications: Second International MATHEON Conference 2015
Verlag: Springer (India) Private Limited
Ver�ffentlichungsdatum: 2019
Sprache: Englisch
ISBN-10: 3319888455
ISBN-13: 9783319888453
Bindung: Softcover
Zustand: New

�ber diesen Titel

Inhaltsangabe

This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery.

This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in the field who are not as familiar with it.

Von der hinteren Coverseite

This contributed volume contains articles written by the plenary and invited speakers from the second international MATHEON Workshop 2015 that focus on applications of compressed sensing. Article authors address their techniques for solving the problems of compressed sensing, as well as connections to related areas like detecting community-like structures in graphs, curbatures on Grassmanians, and randomized tensor train singular value decompositions. Some of the novel applications covered include dimensionality reduction, information theory, random matrices, sparse approximation, and sparse recovery.

This book is aimed at both graduate students and researchers in the areas of applied mathematics, computer science, and engineering, as well as other applied scientists exploring the potential applications for the novel methodology of compressed sensing. An introduction to the subject of compressed sensing is also provided for researchers interested in the field who are not as familiar with it.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.