Can I read Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing on EtoBox?

Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing by Michael Elad (auth.) is a nonfiction available to read on EtoBox.

What is Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing about?

The field of sparse and redundant representation modeling has gone through a major revolution in the past two decades. This started with a series of algorithms for approximating the sparsest solutions of linear systems of equations, later to be followed by surprising theoretical results that guarantee these algorithms’ performance. With these contributions in place, major barriers in making this model practical and applicable were removed, and sparsity and redundancy became central, leading to state-of-the-art results in various disciplines. One of the main beneficiaries of this progress is the field of image processing, where this model has been shown to lead to unprecedented performance in various applications. This book provides a comprehensive view of the topic of sparse and redundant representation modeling, and its use in signal and image processing. It offers a systematic and ordered exposure to the theoretical foundations of this data model, the numerical aspects of the involved algorithms, and the signal and image processing applications that benefit from these advancements. The book is well-written, presenting clearly the flow of the ideas that brought this field of resea

Who reads Sparse and Redundant Representations : From Theory to Applications in Signal and Image Processing?

Author

Michael Elad (auth.)

Publisher

Springer-Verlag New York

Published

2010

Language

EN

ISBN

9781489982452

Category

nonfiction

Subjects

Engineering, Mathematics, Computer Science

Updated

2026-03-24