Close Approximation of Kullback–Leibler Divergence for Sparse Source Retrieval
- DOI
- 10.1109/lsp.2019.2907374
- Published
- 2019-05
- Container
- IEEE Signal Processing Letters
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/lsp.2019.2907374,
title = {Close Approximation of Kullback–Leibler Divergence for Sparse Source Retrieval},
author = {Emna Ghodhbani and Mounir Kaaniche and Amel Benazza-Benyahia},
year = {2019},
journal = {IEEE Signal Processing Letters},
doi = {10.1109/lsp.2019.2907374},
url = {https://doi.org/10.1109/lsp.2019.2907374}
}RIS
TY - JOUR TI - Close Approximation of Kullback–Leibler Divergence for Sparse Source Retrieval AU - Emna Ghodhbani AU - Mounir Kaaniche AU - Amel Benazza-Benyahia PY - 2019 JO - IEEE Signal Processing Letters DO - 10.1109/lsp.2019.2907374 UR - https://doi.org/10.1109/lsp.2019.2907374 ER -
APA
Ghodhbani, E., Kaaniche, M., & Benazza-Benyahia, A. (2019). Close Approximation of Kullback–Leibler Divergence for Sparse Source Retrieval. IEEE Signal Processing Letters. https://doi.org/10.1109/lsp.2019.2907374
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- crossref · retrieved 2026-09-25T04:52:29.973Z