Magni Documentation Magni 1.6.0 documentation

Magni 1.6.0 documentation. Is a Python package developed by Christian Schou Oxvig and Patrick Steffen Pedersen in collaboration with Jan Østergaard, Thomas Arildsen, Tobias L. Jensen, and Torben Larsen. The work was supported by 1 the Danish Council for Independent Research Technology and Production Sciences - via grant DFF-1335-00278 for the project Enabling Fast Image Acquisition for Atomic Force Microscopy using Compressed Sensing. This page gives an Introduction. See eg. 1. Tools that may aid in i.

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This web site magni.readthedocs.io presently has a traffic classification of zero (the smaller the more users). We have audited twenty pages inside the website magni.readthedocs.io and found two websites referencing magni.readthedocs.io.
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Adventures in Signal Processing and Open Science

Adventures in Signal Processing and Open Science. Our newest version of the Magni software package was just released on the 2nd of November.

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TITLE

Magni Documentation Magni 1.6.0 documentation

DESCRIPTION

Magni 1.6.0 documentation. Is a Python package developed by Christian Schou Oxvig and Patrick Steffen Pedersen in collaboration with Jan Østergaard, Thomas Arildsen, Tobias L. Jensen, and Torben Larsen. The work was supported by 1 the Danish Council for Independent Research Technology and Production Sciences - via grant DFF-1335-00278 for the project Enabling Fast Image Acquisition for Atomic Force Microscopy using Compressed Sensing. This page gives an Introduction. See eg. 1. Tools that may aid in i.

CONTENT

This web site had the following in the homepage, "Is a Python package developed by Christian Schou Oxvig and Patrick Steffen Pedersen in collaboration with Jan Østergaard, Thomas Arildsen, Tobias L." Our analyzers noticed that the web page stated " Jensen, and Torben Larsen." The Website also said " The work was supported by 1 the Danish Council for Independent Research Technology and Production Sciences - via grant DFF-1335-00278 for the project Enabling Fast Image Acquisition for Atomic Force Microscopy using Compressed Sensing. This page gives an Introduction. Tools that may aid in i."

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