1 option
Compressed Sensing and its Applications : Second International MATHEON Conference 2015 / edited by Holger Boche, Giuseppe Caire, Robert Calderbank, Maximilian März, Gitta Kutyniok, Rudolf Mathar.
Springer Nature - Springer Mathematics and Statistics eBooks 2017 English International Available online
View online- Format:
- Book
- Series:
- Applied and Numerical Harmonic Analysis, 2296-5017
- Language:
- English
- Subjects (All):
- Computer science--Mathematics.
- Computer science.
- Numerical analysis.
- Signal processing.
- Coding theory.
- Information theory.
- Algebras, Linear.
- Mathematics--Data processing.
- Mathematics.
- Mathematical Applications in Computer Science.
- Numerical Analysis.
- Signal, Speech and Image Processing.
- Coding and Information Theory.
- Linear Algebra.
- Computational Science and Engineering.
- Local Subjects:
- Mathematical Applications in Computer Science.
- Numerical Analysis.
- Signal, Speech and Image Processing.
- Coding and Information Theory.
- Linear Algebra.
- Computational Science and Engineering.
- Physical Description:
- 1 online resource (XIX, 388 p. 77 illus., 57 illus. in color.)
- Edition:
- 1st ed. 2017.
- Place of Publication:
- Cham : Springer International Publishing : Imprint: Birkhäuser, 2017.
- Summary:
- 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 thefield who are not as familiar with it. .
- Contents:
- Preface
- On the Global-Local Dichotomy in Sparsity Modeling, Batenkov, Romano, Elad
- Fourier Phase Retrieval: Uniqueness and Algorithms, Bendory, Beinert, Eldar
- Compressed Sensing Approaches for Polynomial Approximation of High-Dimensional Functions, Adcock, Brugiapaglia, Webster
- Multisection in the Stochastic Block Model using Semidefinite Programming, Agarwal, Bandeira, Koiliaris, Kolla
- Recovering Signals with Unknown Sparsity in Multiple Dictionaries, Ahmad, Schniter
- Compressive Classification and the Rare Eclipse Problem, Bandeira, Mixon, Recht
- Weak Phase Retrieval, Bothelo-Andrade, Casazza, Ghoreishi, Jose, Tremain
- Cubatures on Grassmannians: Moments, Dimension Reduction, and Related Topics, Breger, Ehler, Gräf, Peter
- A Randomized Tensor Train Singular Value Decomposition, Huber, Schneider, Wolf
- Versatile and Scalable Cosparse Methods for Phsyics-driven Inverse Problems, Kitić, Bensiad, Albera, Bertin, Gribonval
- Total Variation Minimization in Compressed Sensing, Felix Krahmer, Kruschel, Sandbichler
- Compressed Sensing in Hilbert Spaces, Traonmilin, Puy, Gribonval, Davies.
- Notes:
- Includes bibliographical references at the end of each chapters.
- Print version record.
- ISBN:
- 3-319-69802-8
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.