Improvements to sparse signal processing in compressive sensing and other methods
Compressive Sensing (CS), as a newly developed branch of sparse signal processing and representation approaches, has quickly found various applications in a large number of research topics in modern digital signal processing area. This work is devoted to investigating some effective CS and sparse si...
Saved in:
Main Author: | Huang, Honglin |
---|---|
Other Authors: | Anamitra Makur |
Format: | Theses and Dissertations |
Language: | English |
Published: |
2012
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/50358 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Nanyang Technological University |
Language: | English |
Similar Items
-
Sparse signal processing and compressed sensing recovery
by: Sujit Kumar Sahoo
Published: (2014) -
Sparse signal processing for image applications
by: Gao, Haoran
Published: (2023) -
Improved compressed sensing radar by fusion with matched filtering
by: Dauwels, Justin, et al.
Published: (2014) -
A discretization-free sparse and parametric approach for linear array signal processing
by: Zhang, Cishen, et al.
Published: (2014) -
Improved fractal-based methods for image compression
by: Ruan, Yuxuan.
Published: (2008)