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"Penalized linear regression for discrete ill-posed problems: A hybrid ..."

Mohamed Suliman et al. (2016)

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DOI: 10.1109/EUSIPCO.2016.7760279

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-06

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Mohamed Suliman, Tarig Ballal, Abla Kammoun, Tareq Y. Al-Naffouri:
Penalized linear regression for discrete ill-posed problems: A hybrid least-squares and mean-squared error approach. EUSIPCO 2016: 403-407

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