TY  - BOOK
AU  - Vidyasagar, M
AU  - Vidyasagar, M
TI  - An introduction to Compressed Sensing
T2  - Texts and Reading In Mathematics 81
SN  - 9788195196104
U1  - 621.3822 VID 
PY  - 2020///
CY  - New Delhi
PB  - :Hindustan Book Agency 
KW  - Applied physics
KW  - Signal processing
KW  - Linear programming
KW  - Optimization
KW  - Combinatorics & graph theory
KW  - Matrix completion
N1  - 	Mathematical preliminaries --
Compressed sensing : problem formulations --
Null space--based conditions --
Concepts from graph theory --
Deterministic construction of measurement matrices --
Probabilistic construction of measurement matrices --
Matrix recovery and completion --
Some recent approaches to vector recovery --
Optimization algorithms --
Case studies
N2  - 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. This book presents significant concepts never before discussed and new advances in the theory, providing an in-depth initiation to the field of compressed sensing
ER  -