An Introduction to Compressed Sensing
$202.71
- Paperback
341 pages
- Release Date
29 January 2020
Summary
Unveiling Hidden Signals: A Concise Guide to Compressed Sensing
Compressed sensing is a cutting-edge field focused on reconstructing high-dimensional, yet simple, data from sparse measurements. This interdisciplinary area finds applications in signal and image processing, as well as computer algorithms, drawing on mathematical tools like graph theory, probability, linear algebra, and optimization.
This book provides an in-depth introduction to the field, presenting significa…
Book Details
| ISBN-13: | 9781611976113 |
|---|---|
| ISBN-10: | 1611976111 |
| Series: | Computational Science and Engineering 22 |
| Author: | M. Vidyasagar |
| Publisher: | Society for Industrial & Applied Mathematics,U.S. |
| Imprint: | Society for Industrial & Applied Mathematics,U.S. |
| Format: | Paperback |
| Number of Pages: | 341 |
| Release Date: | 29 January 2020 |
| Weight: | 750g |
| Dimensions: | 255mm x 181mm |
You Can Find This Book In
About The Author
M. Vidyasagar
M. Vidyasagar is a Science and Engineering Research Board (SERB) Distinguished Fellow at the Indian Institute of Technology Hyderabad. During his 50-year career he has worked in a variety of areas including control theory, robotics, statistical learning theory, computational cancer biology, and compressed sensing. He has received many awards and honors in recognition of his research, including the Fellowship of The Royal Society and the IEEE Control Systems Technical Field Award.
Returns
This item is eligible for free returns within 30 days of delivery. See our returns policy for further details.