scholarly journals Distinguishing one from many using super-resolution compressive sensing

Author(s):  
Stephen Anthony ◽  
Drew P. Woodbury ◽  
Jonathan Mulcahy-Stanislawczyk ◽  
Eric A. Shields
2015 ◽  
Author(s):  
J. C. Flake ◽  
Gary Euliss ◽  
John B. Greer ◽  
Stephanie Shubert ◽  
Glenn Easley ◽  
...  

2021 ◽  
Vol 22 (1) ◽  
Author(s):  
Min Tian ◽  
Pei Lu ◽  
Xiaoyong Liu ◽  
Xi Lu

2021 ◽  
Vol 8 (1) ◽  
pp. 28
Author(s):  
Cinzia Lastri ◽  
Gabriele Amato ◽  
Massimo Baldi ◽  
Tiziano Bianchi ◽  
Maria Fabrizia Buongiorno ◽  
...  

This paper describes the activities related to a feasibility study for an Earth observation optical payload, operating in the medium infrared, based on super-resolution and compressive sensing techniques. The presented activities are running in the framework of the ASI project SISSI, aiming to improve ground spatial resolution and mitigate saturation/blooming effects. The core of the payload is a spatial light modulator (SLM): a bidimensional array of micromirrors electronically actuated. Thanks to compressive sensing approach, the proposed payload eliminates the compression board, saving mass, memory and energy consumption.


2019 ◽  
Vol 52 ◽  
pp. 53-68 ◽  
Author(s):  
Mina Hosseinpour ◽  
Hamid Behnam ◽  
Maryam Shojaeifard

2020 ◽  
Vol 2020 ◽  
pp. 1-9
Author(s):  
Hamid Ali Mirza ◽  
Laeeq Aslam ◽  
Muhammad Asif Zahoor Raja ◽  
Naveed Ishtiaq Chaudhary ◽  
Ijaz Mansoor Qureshi ◽  
...  

In this paper, a method for solving grid mismatch or off-grid target is presented for direction of arrival (DOA) estimation problem using compressive sensing (CS) technique. Location of the sources are at few angles as compare to the entire angle domain, i.e., spatially sparse sources, and their location can be estimated using CS methods with ability of achieving super resolution and estimation with a smaller number of samples. Due to grid mismatch in CS techniques, the source energy is distributed among the adjacent grids. Therefore, a fitness function is introduced which is based on the difference of the source energy among the adjacent grids. This function provides the best discretization value for the grid through iterative grid refinement. The effectiveness of the proposed scheme is verified through extensive simulations for different number of sources.


2016 ◽  
Vol 37 (18) ◽  
pp. 4201-4224 ◽  
Author(s):  
Marwa Moustafa ◽  
Hala M. Ebeid ◽  
Ashraf Helmy ◽  
Taymoor M. Nazmy ◽  
Mohamed F. Tolba

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