EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link: https://ebookbell.com/faq

We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.

For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Compressed Sensing Theory And Applications Kutyniok Gitta Eldar

Name: Compressed Sensing Theory And Applications Kutyniok Gitta Eldar
SKU: BELL-4173314
Price: 31.00 USD
Availability: InStock
Rating: 4.7 (66 reviews)

SKU: BELL-4173314

$ 31.00 ~~$ 45.00~~ (-31%)

4.7

66 reviews

Compressed Sensing Theory And Applications Kutyniok Gitta Eldar instant download after payment.

Publisher: Cambridge University Press

File Extension: PDF

File size: 8.33 MB

Pages: 559

Author: Kutyniok, Gitta Eldar, Yonina C.

Language: English

Year: 2012

Product desciption

Compressed Sensing Theory And Applications Kutyniok Gitta Eldar by Kutyniok, Gitta Eldar, Yonina C. instant download after payment.

Compressed sensing is an exciting, rapidly growing field, attracting considerable attention in electrical engineering, applied mathematics, statistics and computer science. This book provides the first detailed introduction to the subject, highlighting recent theoretical advances and a range of applications, as well as outlining numerous remaining research challenges. After a thorough review of the basic theory, many cutting-edge techniques are presented, including advanced signal modeling, sub-Nyquist sampling of analog signals, non-asymptotic analysis of random matrices, adaptive sensing, greedy algorithms and use of graphical models. All chapters are written by leading researchers in the field, and consistent style and notation are utilized throughout. Key background information and clear definitions make this an ideal resource for researchers, graduate students and practitioners wanting to join this exciting research area. It can also serve as a supplementary textbook for courses on computer vision, coding theory, signal processing, image processing and algorithms for efficient data processing.