Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems

Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems. Crockett, C., Hong, D., Chun, I. Y., & Fessler, J. A. 2019. Invited submission
doi bibtex

@CONFERENCE{crockett:19:ihf,
 author = {C. Crockett and D. Hong and I. Y. Chun and J. A. Fessler},
 title = {Incorporating handcrafted filters in convolutional analysis operator learning for ill-posed inverse problems},
 booktitle = {{Proc. Intl. Wkshp. Comp. Adv. Multi-Sensor Adapt. Proc.}},
 pages = {{316--20}},
 note = {Invited submission},
 doi = {10.1109/CAMSAP45676.2019.9022669},
 year = 2019
}

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