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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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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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Magni Documentation — Magni 1.6.0 documentation | magni.readthedocs.io Reviews

https://magni.readthedocs.io

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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magni.cs.reconstruction package — Magni 1.7.0 documentation

http://magni.readthedocs.io/en/latest/magni.cs.reconstruction.html

Magni 1.7.0 documentation. Subpackage providing implementations of generic reconstruction algorithms. Each subpackage provides a family of generic reconstruction algorithms. Thus each subpackage has a config module and a run function which provide the interface of the given family of reconstruction algorithms. Subpackage providing implementations of Approximate Message Passing (AMP). Subpackage providing implementations of Generalised Approximate Message Passing (GAMP). Magni 1.7.0 documentation.

2

magni.utils package — Magni 1.7.0 documentation

http://magni.readthedocs.io/en/latest/magni.utils.html

Magni 1.7.0 documentation. Subpackage providing support functionality for the other subpackages. Subpackage providing intuitive and extensive multiprocessing functionality. Module providing a robust configger class. Module providing matrix emulators. Module providing utilities for control of plotting using. Subpackage providing validation capability. Module providing custom data types. Split a path into folder path, file name, and file extension. Magniutils. util module. Magni 1.7.0 documentation.

3

magni.imaging package — Magni 1.7.0 documentation

http://magni.readthedocs.io/en/latest/magni.imaging.html

Magni 1.7.0 documentation. Subpackage providing functionality for image manipulation. Module providing fast linear operations wrapped in matrix emulators. Module providing a multi domain image class. Module providing functions for evaluation of image reconstruction quality. Module providing functions for constructing scan patterns for measurements. Module providing functionality to remove tilt in images. Module providing functionality for visualising images. Vec2mat(x, mn tuple).

4

magni.reproducibility package — Magni 1.7.0 documentation

http://magni.readthedocs.io/en/latest/magni.reproducibility.html

Magni 1.7.0 documentation. Module providing functionality for aiding in quest for more reproducible research. Module providing functions that return various data about the system, magni, files, etc. Module providing input/output functions to databases containing results from reproducible research. Magnireproducibility. annotation module. Magnireproducibility. chase module. Magnireproducibility. annotation module. Enter search terms or a module, class or function name. Magni 1.7.0 documentation.

5

Examples — Magni 1.7.0 documentation

http://magni.readthedocs.io/en/latest/examples.html

Magni 1.7.0 documentation. All the examples are available as IPython Notebooks. In the magni folder under ‘/examples/’. For an introduction to getting started with IPython Notebook see the official documentation. Starting the IPython Notebook. Starting the IPython Notebook basically boils down to running:. From a shell with the working directory set to the Magni ‘/examples/’ folder. Remember to make sure that. Is available as described in Download and Installation. Prior to starting the IPython Notebook.

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November | 2016 | Adventures in Signal Processing and Open Science

https://thomas.arildsen.org/2016/11

Adventures in Signal Processing and Open Science. Month: November, 2016. Magni 1.6.0 released. Our newest version of the Magni software package was just released on the 2nd of November. This particular release has some interesting features we (the team behind the Magni package) hope some of you find particularly interesting. Modules, respectively. Note that the. The Magni package was designed and developed with a strong focus on well-tested, -validated and -documented code. The package can be found on Gi...

thomas.arildsen.org

Magni 1.6.0 released | Adventures in Signal Processing and Open Science

https://thomas.arildsen.org/2016/11/04/magni-1-6-0-released

Adventures in Signal Processing and Open Science. Magni 1.6.0 released. Our newest version of the Magni software package was just released on the 2nd of November. This particular release has some interesting features we (the team behind the Magni package) hope some of you find particularly interesting. Modules, respectively. Note that the. Sub-package contains algorithms applicable to compressed sensing (CS) and CS-like reconstruction problems in general – and not just atomic force microscopy (AFM).

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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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