https://github.com/lcav/krylovfritools

We present proof of concept code - MATLAB and Python - for identification of the union of subspaces in FRI estimation problems when the number of measurements greatly exceeds the dimension of the model.
https://github.com/lcav/krylovfritools

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We present proof of concept code - MATLAB and Python - for identification of the union of subspaces in FRI estimation problems when the number of measurements greatly exceeds the dimension of the model.

• Host: GitHub
• URL: https://github.com/lcav/krylovfritools
• Owner: LCAV
• Created: 2014-01-06T09:18:57.000Z (almost 11 years ago)
• Default Branch: master
• Last Pushed: 2014-07-04T09:52:55.000Z (over 10 years ago)
• Last Synced: 2024-06-11T19:59:30.535Z (6 months ago)
• Language: CSS
• Homepage: http://lcav.epfl.ch/people/yann.barbotin
• Size: 293 KB
• Stars: 1
• Watchers: 8
• Forks: 2
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        

# Krylov FRI Tools

*We present proof of concept code -- MATLAB and Python -- for

identification of the union of subspaces in FRI estimation problems when the

number of measurements greatly exceeds the dimension of the model. This

scenario happens frequently in wireless communications,* eg. *OFDM channels

estimation from pilots. The key properties are a superlinear running-time and

a linear memory consumption in term of the input size.*

## Documentation

The [documentation](http://lcav.github.io/KrylovFRITools/) is located in `doc`

and can be built using the makefile. It requires

[pandoc](http://johnmacfarlane.net/pandoc/) to be installed.

## Code snippets

Matlab and python code snippets are located in `matlab` and `python`, respectively.

## Author

[Yann Barbotin](http://lcav.epfl.ch/people/yann.barbotin) was a PhD student with LCAV from 2009 to 2013.