Lanczos-based fast blind deconvolution methods

Laura Dykes; Ronny Ramlau; Lothar Reichel; Roland Wagner

doi:10.1016/j.cam.2020.113067

Lanczos-based fast blind deconvolution methods

Laura Dykes
, Ronny Ramlau
, Lothar Reichel
, Roland Wagner

Industrial Mathematics Institute

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	113067
Pages (from-to)	113067
Number of pages	14
Journal	Journal of Computational and Applied Mathematics
Volume	382
DOIs	https://doi.org/10.1016/j.cam.2020.113067
Publication status	Published - Jan 2021

Fields of science

101 Mathematics
101020 Technical mathematics

JKU Focus areas

Digital Transformation

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10.1016/j.cam.2020.113067

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title = "Lanczos-based fast blind deconvolution methods",

author = "Laura Dykes and Ronny Ramlau and Lothar Reichel and Roland Wagner",

year = "2021",

month = jan,

doi = "10.1016/j.cam.2020.113067",

language = "English",

volume = "382",

pages = "113067",

journal = "Journal of Computational and Applied Mathematics",

issn = "0377-0427",

publisher = "Elsevier",

}

TY - JOUR

T1 - Lanczos-based fast blind deconvolution methods

AU - Dykes, Laura

AU - Ramlau, Ronny

AU - Reichel, Lothar

AU - Wagner, Roland

PY - 2021/1

Y1 - 2021/1

UR - https://www.scopus.com/pages/publications/85087518259

U2 - 10.1016/j.cam.2020.113067

DO - 10.1016/j.cam.2020.113067

M3 - Article

SN - 0377-0427

VL - 382

SP - 113067

JO - Journal of Computational and Applied Mathematics

JF - Journal of Computational and Applied Mathematics

M1 - 113067

ER -

Lanczos-based fast blind deconvolution methods

Fields of science

JKU Focus areas

Access to Document

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