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Convolutional group-sparse coding and source localization

Abstract: 

In this paper, we present a new interpretation of non-negatively constrained convolutional coding problems as blind deconvolution problems with spatially variant point spread function. In this light, we propose an optimization framework that generalizes our previous work on non-negative group sparsity for convolutional models. We then link these concepts to source localization problems that arise in scientific imaging, and provide a visual example on an image derived from data captured by the Hubble telescope.

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Paper Details

Authors:
Pol del Aguila Pla, Joakim Jaldén
Submitted On:
12 April 2018 - 12:59pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Pol del Aguila Pla
Paper Code:
2142
Document Year:
2018
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Document Files

Poster.pdf

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[1] Pol del Aguila Pla, Joakim Jaldén, "Convolutional group-sparse coding and source localization", IEEE SigPort, 2018. [Online]. Available: http://sigport.org/2444. Accessed: Dec. 14, 2018.
@article{2444-18,
url = {http://sigport.org/2444},
author = {Pol del Aguila Pla; Joakim Jaldén },
publisher = {IEEE SigPort},
title = {Convolutional group-sparse coding and source localization},
year = {2018} }
TY - EJOUR
T1 - Convolutional group-sparse coding and source localization
AU - Pol del Aguila Pla; Joakim Jaldén
PY - 2018
PB - IEEE SigPort
UR - http://sigport.org/2444
ER -
Pol del Aguila Pla, Joakim Jaldén. (2018). Convolutional group-sparse coding and source localization. IEEE SigPort. http://sigport.org/2444
Pol del Aguila Pla, Joakim Jaldén, 2018. Convolutional group-sparse coding and source localization. Available at: http://sigport.org/2444.
Pol del Aguila Pla, Joakim Jaldén. (2018). "Convolutional group-sparse coding and source localization." Web.
1. Pol del Aguila Pla, Joakim Jaldén. Convolutional group-sparse coding and source localization [Internet]. IEEE SigPort; 2018. Available from : http://sigport.org/2444