An Introduction to Compressed Sensing
$209.33
- Paperback
341 pages
- Release Date
29 January 2020
Summary
Compressed sensing is a relatively recent area of research that refers to the recovery of high-dimensional but low-complexity objects from a limited number of measurements. The topic has applications to signal/image processing and computer algorithms, and it draws from a variety of mathematical techniques such as graph theory, probability theory, linear algebra, and optimization. The author presents significant concepts never before discussed as well as new advances in the theory, providing a…
Book Details
| ISBN-13: | 9781611976113 |
|---|---|
| ISBN-10: | 1611976111 |
| 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 |
| Series: | Computational Science and Engineering 22 |
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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.
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