Constrained measurement systems of low-dimensional signals
The object of this thesis is the study of constrained measurement systems of signals having low-dimensional structure using analytic tools from Compressed Sensing (CS). Realistic measurement systems usually have architectural constraints that make them differ from their idealized, well-studied count...
Main Author: | Yap, Han Lun |
---|---|
Published: |
Georgia Institute of Technology
2013
|
Subjects: | |
Online Access: | http://hdl.handle.net/1853/47716 |
Similar Items
-
A Method of Reweighting the Sensing Matrix for Compressed Sensing
by: Lei Shi, et al.
Published: (2021-01-01) -
RMP: Reduced-set matching pursuit approach for efficient compressed sensing signal reconstruction
by: Michael M. Abdel-Sayed, et al.
Published: (2016-11-01) -
Stable Recovery of Signals From Highly Corrupted Measurements
by: Ningning Li, et al.
Published: (2018-01-01) -
Recurrent Neural Networks: An Embedded Computing Perspective
by: Nesma M. Rezk, et al.
Published: (2020-01-01) -
Improved Sufficient Conditions for Support Recovery of Sparse Signals Via Orthogonal Matching Pursuit
by: Xiaolun Cai, et al.
Published: (2018-01-01)